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class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3774</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: centrality measures</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3774</span> Passenger Flow Characteristics of Seoul Metropolitan Subway Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kang%20Won%20Lee">Kang Won Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Jung%20Won%20Lee"> Jung Won Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Characterizing the network flow is of fundamental importance to understand the complex dynamics of networks. And passenger flow characteristics of the subway network are very relevant for an effective transportation management in urban cities. In this study, passenger flow of Seoul metropolitan subway network is investigated and characterized through statistical analysis. Traditional betweenness centrality measure considers only topological structure of the network and ignores the transportation factors. This paper proposes a weighted betweenness centrality measure that incorporates monthly passenger flow volume. We apply the proposed measure on the Seoul metropolitan subway network involving 493 stations and 16 lines. Several interesting insights about the network are derived from the new measures. Using Kolmogorov-Smirnov test, we also find out that monthly passenger flow between any two stations follows a power-law distribution and other traffic characteristics such as congestion level and throughflow traffic follow exponential distribution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=betweenness%20centrality" title="betweenness centrality">betweenness centrality</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation%20coefficient" title=" correlation coefficient"> correlation coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=power-law%20distribution" title=" power-law distribution"> power-law distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=Korea%20traffic%20DB" title=" Korea traffic DB"> Korea traffic DB</a> </p> <a href="https://publications.waset.org/abstracts/84936/passenger-flow-characteristics-of-seoul-metropolitan-subway-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84936.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">297</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3773</span> ASEAN Limited Centrality in Connectivity: Managing the China-Japan Infrastructure Competition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Barbora%20Valockova">Barbora Valockova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Scholars recommend the establishment of a multilateral coordination mechanism by ASEAN, such as an infrastructure forum, to contain the China-Japan infrastructure financing competition in the region. However, they do not systematically investigate the reasons for its absence. This paper aims to fill the gap by addressing the following question: Why has ASEAN been unable to set up any multilateral coordination mechanism to soften the China-Japan infrastructure financing competition? This paper argues that ASEAN has not been able to set up such a mechanism due to its limited centrality in connectivity. This limited centrality decreases ASEAN’s ability to manage the China-Japan competition in a more comprehensive and coordinated way. Rather, ASEAN acts as a scope setter in connectivity, although this is not completely ineffective. This paper is divided into four sections. The first section explores the key tenets of the concept of ASEAN centrality in connectivity, which is under-examined in the current literature. The second section examines the extent to which ASEAN limited centrality in connectivity is being respected by China and Japan. The third section analyses how various stakeholders, such as ASEAN member states, their leaders and bureaucracy, and foreign private companies prevent ASEAN from attaining stronger centrality. The last section concludes and offers recommendations. Data is gathered using primary sources (official ASEAN, Chinese, and Japanese documents, interviews, etc.) and secondary material. By providing a nuanced analysis of ASEAN centrality in connectivity and developing a new operationalization of the concept, this paper aims to contribute to the international relations literature on ASEAN centrality. Initial findings suggest that while ASEAN limited centrality in connectivity has some effectiveness, it is not sufficient for setting up a multilateral coordination mechanism. While it represents a solid departure point, any potential possessed by ASEAN to evolve beyond a scope setter in connectivity is hampered by stakeholders involved in infrastructure development. While these players and their interactions can have both positive and negative effects on the scope set by ASEAN, it is unlikely that they would allow ASEAN to become the real central player. There can be no stronger ASEAN centrality in connectivity without ASEAN unity and neutrality. However, the last two factors are difficult to attain in the context of infrastructure development since ASEAN member states and stakeholders all have their styles and preferences. All other things being equal, these circumstances favor a loose, vague, and quasi-prescriptive arrangement among the relevant stakeholders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ASEAN%20centrality" title="ASEAN centrality">ASEAN centrality</a>, <a href="https://publications.waset.org/abstracts/search?q=China-Japan%20infrastructure%20competition" title=" China-Japan infrastructure competition"> China-Japan infrastructure competition</a>, <a href="https://publications.waset.org/abstracts/search?q=connectivity" title=" connectivity"> connectivity</a>, <a href="https://publications.waset.org/abstracts/search?q=scope%20setter" title=" scope setter"> scope setter</a> </p> <a href="https://publications.waset.org/abstracts/127188/asean-limited-centrality-in-connectivity-managing-the-china-japan-infrastructure-competition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127188.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3772</span> Centrality and Patent Impact: Coupled Network Analysis of Artificial Intelligence Patents Based on Co-Cited Scientific Papers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xingyu%20Gao">Xingyu Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Qiang%20Wu"> Qiang Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuanyuan%20Liu"> Yuanyuan Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yue%20Yang"> Yue Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the era of the knowledge economy, the relationship between scientific knowledge and patents has garnered significant attention. Understanding the intricate interplay between the foundations of science and technological innovation has emerged as a pivotal challenge for both researchers and policymakers. This study establishes a coupled network of artificial intelligence patents based on co-cited scientific papers. Leveraging centrality metrics from network analysis offers a fresh perspective on understanding the influence of information flow and knowledge sharing within the network on patent impact. The study initially obtained patent numbers for 446,890 granted US AI patents from the United States Patent and Trademark Office’s artificial intelligence patent database for the years 2002-2020. Subsequently, specific information regarding these patents was acquired using the Lens patent retrieval platform. Additionally, a search and deduplication process was performed on scientific non-patent references (SNPRs) using the Web of Science database, resulting in the selection of 184,603 patents that cited 37,467 unique SNPRs. Finally, this study constructs a coupled network comprising 59,379 artificial intelligence patents by utilizing scientific papers co-cited in patent backward citations. In this network, nodes represent patents, and if patents reference the same scientific papers, connections are established between them, serving as edges within the network. Nodes and edges collectively constitute the patent coupling network. Structural characteristics such as node degree centrality, betweenness centrality, and closeness centrality are employed to assess the scientific connections between patents, while citation count is utilized as a quantitative metric for patent influence. Finally, a negative binomial model is employed to test the nonlinear relationship between these network structural features and patent influence. The research findings indicate that network structural features such as node degree centrality, betweenness centrality, and closeness centrality exhibit inverted U-shaped relationships with patent influence. Specifically, as these centrality metrics increase, patent influence initially shows an upward trend, but once these features reach a certain threshold, patent influence starts to decline. This discovery suggests that moderate network centrality is beneficial for enhancing patent influence, while excessively high centrality may have a detrimental effect on patent influence. This finding offers crucial insights for policymakers, emphasizing the importance of encouraging moderate knowledge flow and sharing to promote innovation when formulating technology policies. It suggests that in certain situations, data sharing and integration can contribute to innovation. Consequently, policymakers can take measures to promote data-sharing policies, such as open data initiatives, to facilitate the flow of knowledge and the generation of innovation. Additionally, governments and relevant agencies can achieve broader knowledge dissemination by supporting collaborative research projects, adjusting intellectual property policies to enhance flexibility, or nurturing technology entrepreneurship ecosystems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=centrality" title="centrality">centrality</a>, <a href="https://publications.waset.org/abstracts/search?q=patent%20coupling%20network" title=" patent coupling network"> patent coupling network</a>, <a href="https://publications.waset.org/abstracts/search?q=patent%20influence" title=" patent influence"> patent influence</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network%20analysis" title=" social network analysis"> social network analysis</a> </p> <a href="https://publications.waset.org/abstracts/181080/centrality-and-patent-impact-coupled-network-analysis-of-artificial-intelligence-patents-based-on-co-cited-scientific-papers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181080.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">60</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3771</span> Three-Stage Least Squared Models of a Station-Level Subway Ridership: Incorporating an Analysis on Integrated Transit Network Topology Measures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jungyeol%20Hong">Jungyeol Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Dongjoo%20Park"> Dongjoo Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The urban transit system is a critical part of a solution to the economic, energy, and environmental challenges. Furthermore, it ultimately contributes the improvement of people’s quality of lives. For taking these kinds of advantages, the city of Seoul has tried to construct an integrated transit system including both subway and buses. The effort led to the fact that approximately 6.9 million citizens use the integrated transit system every day for their trips. Diagnosing the current transit network is a significant task to provide more convenient and pleasant transit environment. Therefore, the critical objective of this study is to establish a methodological framework for the analysis of an integrated bus-subway network and to examine the relationship between subway ridership and parameters such as network topology measures, bus demand, and a variety of commercial business facilities. Regarding a statistical approach to estimate subway ridership at a station level, many previous studies relied on Ordinary Least Square regression, but there was lack of studies considering the endogeneity issues which might show in the subway ridership prediction model. This study focused on both discovering the impacts of integrated transit network topology measures and endogenous effect of bus demand on subway ridership. It could ultimately contribute to developing more accurate subway ridership estimation accounting for its statistical bias. The spatial scope of the study covers Seoul city in South Korea, and it includes 243 subway stations and 10,120 bus stops with the temporal scope set during twenty-four hours with one-hour interval time panels each. The subway and bus ridership information in detail was collected from the Seoul Smart Card data in 2015 and 2016. First, integrated subway-bus network topology measures which have characteristics regarding connectivity, centrality, transitivity, and reciprocity were estimated based on the complex network theory. The results of integrated transit network topology analysis were compared to subway-only network topology. Also, the non-recursive approach which is Three-Stage Least Square was applied to develop the daily subway ridership model as capturing the endogeneity between bus and subway demands. Independent variables included roadway geometry, commercial business characteristics, social-economic characteristics, safety index, transit facility attributes, and dummies for seasons and time zone. Consequently, it was found that network topology measures were significant size effect. Especially, centrality measures showed that the elasticity was a change of 4.88% for closeness centrality, 24.48% for betweenness centrality while the elasticity of bus ridership was 8.85%. Moreover, it was proved that bus demand and subway ridership were endogenous in a non-recursive manner as showing that predicted bus ridership and predicted subway ridership is statistically significant in OLS regression models. Therefore, it shows that three-stage least square model appears to be a plausible model for efficient subway ridership estimation. It is expected that the proposed approach provides a reliable guideline that can be used as part of the spectrum of tools for evaluating a city-wide integrated transit network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integrated%20transit%20system" title="integrated transit system">integrated transit system</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20topology%20measures" title=" network topology measures"> network topology measures</a>, <a href="https://publications.waset.org/abstracts/search?q=three-stage%20least%20squared" title=" three-stage least squared"> three-stage least squared</a>, <a href="https://publications.waset.org/abstracts/search?q=endogeneity" title=" endogeneity"> endogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=subway%20ridership" title=" subway ridership"> subway ridership</a> </p> <a href="https://publications.waset.org/abstracts/83097/three-stage-least-squared-models-of-a-station-level-subway-ridership-incorporating-an-analysis-on-integrated-transit-network-topology-measures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83097.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3770</span> Hosoya Polynomials of Mycielskian Graphs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanju%20Vaidya">Sanju Vaidya</a>, <a href="https://publications.waset.org/abstracts/search?q=Aihua%20Li"> Aihua Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vulnerability measures and topological indices are crucial in solving various problems such as the stability of the communication networks and development of mathematical models for chemical compounds. In 1947, Harry Wiener introduced a topological index related to molecular branching. Now there are more than 100 topological indices for graphs. For example, Hosoya polynomials (also called Wiener polynomials) were introduced to derive formulas for certain vulnerability measures and topological indices for various graphs. In this paper, we will find a relation between the Hosoya polynomials of any graph and its Mycielskian graph. Additionally, using this we will compute vulnerability measures, closeness and betweenness centrality, and extended Wiener indices. It is fascinating to see how Hosoya polynomials are useful in the two diverse fields, cybersecurity and chemistry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hosoya%20polynomial" title="hosoya polynomial">hosoya polynomial</a>, <a href="https://publications.waset.org/abstracts/search?q=mycielskian%20graph" title=" mycielskian graph"> mycielskian graph</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20vulnerability%20measure" title=" graph vulnerability measure"> graph vulnerability measure</a>, <a href="https://publications.waset.org/abstracts/search?q=topological%20index" title=" topological index"> topological index</a> </p> <a href="https://publications.waset.org/abstracts/172528/hosoya-polynomials-of-mycielskian-graphs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/172528.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3769</span> Prioritization of Mutation Test Generation with Centrality Measure</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Supachai%20Supmak">Supachai Supmak</a>, <a href="https://publications.waset.org/abstracts/search?q=Yachai%20Limpiyakorn"> Yachai Limpiyakorn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mutation testing can be applied for the quality assessment of test cases. Prioritization of mutation test generation has been a critical element of the industry practice that would contribute to the evaluation of test cases. The industry generally delivers the product under the condition of time to the market and thus, inevitably sacrifices software testing tasks, even though many test cases are required for software verification. This paper presents an approach of applying a social network centrality measure, PageRank, to prioritize mutation test generation. The source code with the highest values of PageRank will be focused first when developing their test cases as these modules are vulnerable to defects or anomalies which may cause the consequent defects in many other associated modules. Moreover, the approach would help identify the reducible test cases in the test suite, still maintaining the same criteria as the original number of test cases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=software%20testing" title="software testing">software testing</a>, <a href="https://publications.waset.org/abstracts/search?q=mutation%20test" title=" mutation test"> mutation test</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20centrality%20measure" title=" network centrality measure"> network centrality measure</a>, <a href="https://publications.waset.org/abstracts/search?q=test%20case%20prioritization" title=" test case prioritization"> test case prioritization</a> </p> <a href="https://publications.waset.org/abstracts/154408/prioritization-of-mutation-test-generation-with-centrality-measure" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154408.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3768</span> Graph-Oriented Summary for Optimized Resource Description Framework Graphs Streams Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amadou%20Fall%20Dia">Amadou Fall Dia</a>, <a href="https://publications.waset.org/abstracts/search?q=Maurras%20Ulbricht%20Togbe"> Maurras Ulbricht Togbe</a>, <a href="https://publications.waset.org/abstracts/search?q=Aliou%20Boly"> Aliou Boly</a>, <a href="https://publications.waset.org/abstracts/search?q=Zakia%20Kazi%20Aoul"> Zakia Kazi Aoul</a>, <a href="https://publications.waset.org/abstracts/search?q=Elisabeth%20Metais"> Elisabeth Metais</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Existing RDF (Resource Description Framework) Stream Processing (RSP) systems allow continuous processing of RDF data issued from different application domains such as weather station measuring phenomena, geolocation, IoT applications, drinking water distribution management, and so on. However, processing window phase often expires before finishing the entire session and RSP systems immediately delete data streams after each processed window. Such mechanism does not allow optimized exploitation of the RDF data streams as the most relevant and pertinent information of the data is often not used in a due time and almost impossible to be exploited for further analyzes. It should be better to keep the most informative part of data within streams while minimizing the memory storage space. In this work, we propose an RDF graph summarization system based on an explicit and implicit expressed needs through three main approaches: (1) an approach for user queries (SPARQL) in order to extract their needs and group them into a more global query, (2) an extension of the closeness centrality measure issued from Social Network Analysis (SNA) to determine the most informative parts of the graph and (3) an RDF graph summarization technique combining extracted user query needs and the extended centrality measure. Experiments and evaluations show efficient results in terms of memory space storage and the most expected approximate query results on summarized graphs compared to the source ones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=centrality%20measures" title="centrality measures">centrality measures</a>, <a href="https://publications.waset.org/abstracts/search?q=RDF%20graphs%20summary" title=" RDF graphs summary"> RDF graphs summary</a>, <a href="https://publications.waset.org/abstracts/search?q=RDF%20graphs%20stream" title=" RDF graphs stream"> RDF graphs stream</a>, <a href="https://publications.waset.org/abstracts/search?q=SPARQL%20query" title=" SPARQL query"> SPARQL query</a> </p> <a href="https://publications.waset.org/abstracts/88106/graph-oriented-summary-for-optimized-resource-description-framework-graphs-streams-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88106.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">209</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3767</span> Optimal and Critical Path Analysis of State Transportation Network Using Neo4J</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pallavi%20Bhogaram">Pallavi Bhogaram</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaolong%20Wu"> Xiaolong Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Min%20He"> Min He</a>, <a href="https://publications.waset.org/abstracts/search?q=Onyedikachi%20Okenwa"> Onyedikachi Okenwa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A transportation network is a realization of a spatial network, describing a structure which permits either vehicular movement or flow of some commodity. Examples include road networks, railways, air routes, pipelines, and many more. The transportation network plays a vital role in maintaining the vigor of the nation’s economy. Hence, ensuring the network stays resilient all the time, especially in the face of challenges such as heavy traffic loads and large scale natural disasters, is of utmost importance. In this paper, we used the Neo4j application to develop the graph. Neo4j is the world's leading open-source, NoSQL, a native graph database that implements an ACID-compliant transactional backend to applications. The Southern California network model is developed using the Neo4j application and obtained the most critical and optimal nodes and paths in the network using centrality algorithms. The edge betweenness centrality algorithm calculates the critical or optimal paths using Yen's <em>k</em>-shortest paths algorithm, and the node betweenness centrality algorithm calculates the amount of influence a node has over the network. The preliminary study results confirm that the Neo4j application can be a suitable tool to study the important nodes and the critical paths for the major congested metropolitan area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=critical%20path" title="critical path">critical path</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20network" title=" transportation network"> transportation network</a>, <a href="https://publications.waset.org/abstracts/search?q=connectivity%20reliability" title=" connectivity reliability"> connectivity reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20model" title=" network model"> network model</a>, <a href="https://publications.waset.org/abstracts/search?q=Neo4j%20application" title=" Neo4j application"> Neo4j application</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20betweenness%20centrality%20index" title=" edge betweenness centrality index"> edge betweenness centrality index</a> </p> <a href="https://publications.waset.org/abstracts/127021/optimal-and-critical-path-analysis-of-state-transportation-network-using-neo4j" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127021.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3766</span> Students’ Level of Knowledge Construction and Pattern of Social Interaction in an Online Forum</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Durairaj">K. Durairaj</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20N.%20Umar"> I. N. Umar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The asynchronous discussion forum is one of the most widely used activities in learning management system environment. Online forum allows participants to interact, construct knowledge, and can be used to complement face to face sessions in blended learning courses. However, to what extent do the students perceive the benefits or advantages of forum remain to be seen. Through content and social network analyses, instructors will be able to gauge the students’ engagement and knowledge construction level. Thus, this study aims to analyze the students’ level of knowledge construction and their participation level that occur through online discussion. It also attempts to investigate the relationship between the level of knowledge construction and their social interaction patterns. The sample involves 23 students undertaking a master course in one public university in Malaysia. The asynchronous discussion forum was conducted for three weeks as part of the course requirement. The finding indicates that the level of knowledge construction is quite low. Also, the density value of 0.11 indicating that the overall communication among the participants in the forum is low. This study reveals that strong and significant correlations between SNA measures (in-degree centrality, out-degree centrality) and level of knowledge construction. Thus, allocating these active students in a different groups aids the interactive discussion takes place. Finally, based upon the findings, some recommendations to increase students’ level of knowledge construction and also for further research are proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asynchronous%20discussion%20forums" title="asynchronous discussion forums">asynchronous discussion forums</a>, <a href="https://publications.waset.org/abstracts/search?q=content%20analysis" title=" content analysis"> content analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20construction" title=" knowledge construction"> knowledge construction</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network%20analysis" title=" social network analysis"> social network analysis</a> </p> <a href="https://publications.waset.org/abstracts/18479/students-level-of-knowledge-construction-and-pattern-of-social-interaction-in-an-online-forum" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3765</span> Evaluating Portfolio Performance by Highlighting Network Property and the Sharpe Ratio in the Stock Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Hatami">Zahra Hatami</a>, <a href="https://publications.waset.org/abstracts/search?q=Hesham%20Ali"> Hesham Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Volkman"> David Volkman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Selecting a portfolio for investing is a crucial decision for individuals and legal entities. In the last two decades, with economic globalization, a stream of financial innovations has rushed to the aid of financial institutions. The importance of selecting stocks for the portfolio is always a challenging task for investors. This study aims to create a financial network to identify optimal portfolios using network centralities metrics. This research presents a community detection technique of superior stocks that can be described as an optimal stock portfolio to be used by investors. By using the advantages of a network and its property in extracted communities, a group of stocks was selected for each of the various time periods. The performance of the optimal portfolios compared to the famous index. Their Sharpe ratio was calculated in a timely manner to evaluate their profit for making decisions. The analysis shows that the selected potential portfolio from stocks with low centrality measurement can outperform the market; however, they have a lower Sharpe ratio than stocks with high centrality scores. In other words, stocks with low centralities could outperform the S&P500 yet have a lower Sharpe ratio than high central stocks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=portfolio%20management%20performance" title="portfolio management performance">portfolio management performance</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=centrality%20measurements" title=" centrality measurements"> centrality measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharpe%20ratio" title=" Sharpe ratio"> Sharpe ratio</a> </p> <a href="https://publications.waset.org/abstracts/148342/evaluating-portfolio-performance-by-highlighting-network-property-and-the-sharpe-ratio-in-the-stock-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148342.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3764</span> Complex Network Approach to International Trade of Fossil Fuel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Semanur%20Soyyigit%20Kaya">Semanur Soyyigit Kaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ercan%20Eren"> Ercan Eren</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy has a prominent role for development of nations. Countries which have energy resources also have strategic power in the international trade of energy since it is essential for all stages of production in the economy. Thus, it is important for countries to analyze the weakness and strength of the system. On the other side, it is commonly believed that international trade has complex network properties. Complex network is a tool for the analysis of complex systems with heterogeneous agents and interaction between them. A complex network consists of nodes and the interactions between these nodes. Total properties which emerge as a result of these interactions are distinct from the sum of small parts (more or less) in complex systems. Thus, standard approaches to international trade are superficial to analyze these systems. Network analysis provides a new approach to analyze international trade as a network. In this network countries constitute nodes and trade relations (export or import) constitute edges. It becomes possible to analyze international trade network in terms of high degree indicators which are specific to complex systems such as connectivity, clustering, assortativity/disassortativity, centrality, etc. In this analysis, international trade of crude oil and coal which are types of fossil fuel has been analyzed from 2005 to 2014 via network analysis. First, it has been analyzed in terms of some topological parameters such as density, transitivity, clustering etc. Afterwards, fitness to Pareto distribution has been analyzed. Finally, weighted HITS algorithm has been applied to the data as a centrality measure to determine the real prominence of countries in these trade networks. Weighted HITS algorithm is a strong tool to analyze the network by ranking countries with regards to prominence of their trade partners. We have calculated both an export centrality and an import centrality by applying w-HITS algorithm to data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complex%20network%20approach" title="complex network approach">complex network approach</a>, <a href="https://publications.waset.org/abstracts/search?q=fossil%20fuel" title=" fossil fuel"> fossil fuel</a>, <a href="https://publications.waset.org/abstracts/search?q=international%20trade" title=" international trade"> international trade</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20theory" title=" network theory"> network theory</a> </p> <a href="https://publications.waset.org/abstracts/42251/complex-network-approach-to-international-trade-of-fossil-fuel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42251.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3763</span> Complex Network Analysis of Seismicity and Applications to Short-Term Earthquake Forecasting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kahlil%20Fredrick%20Cui">Kahlil Fredrick Cui</a>, <a href="https://publications.waset.org/abstracts/search?q=Marissa%20Pastor"> Marissa Pastor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Earthquakes are complex phenomena, exhibiting complex correlations in space, time, and magnitude. Recently, the concept of complex networks has been used to shed light on the statistical and dynamical characteristics of regional seismicity. In this work, we study the relationships and interactions of seismic regions in Chile, Japan, and the Philippines through weighted and directed complex network analysis. Geographical areas are digitized into cells of fixed dimensions which in turn become the nodes of the network when an earthquake has occurred therein. Nodes are linked if a correlation exists between them as determined and measured by a correlation metric. The networks are found to be scale-free, exhibiting power-law behavior in the distributions of their different centrality measures: the in- and out-degree and the in- and out-strength. The evidence is also found of preferential interaction between seismically active regions through their degree-degree correlations suggesting that seismicity is dictated by the activity of a few active regions. The importance of a seismic region to the overall seismicity is measured using a generalized centrality metric taken to be an indicator of its activity or passivity. The spatial distribution of earthquake activity indicates the areas where strong earthquakes have occurred in the past while the passivity distribution points toward the likely locations an earthquake would occur whenever another one happens elsewhere. Finally, we propose a method that would project the location of the next possible earthquake using the generalized centralities coupled with correlations calculated between the latest earthquakes and a geographical point in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complex%20networks" title="complex networks">complex networks</a>, <a href="https://publications.waset.org/abstracts/search?q=correlations" title=" correlations"> correlations</a>, <a href="https://publications.waset.org/abstracts/search?q=earthquake" title=" earthquake"> earthquake</a>, <a href="https://publications.waset.org/abstracts/search?q=hazard%20assessment" title=" hazard assessment"> hazard assessment</a> </p> <a href="https://publications.waset.org/abstracts/58357/complex-network-analysis-of-seismicity-and-applications-to-short-term-earthquake-forecasting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58357.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3762</span> Operational Measures for Greenhouse Gas Reduction from Ships</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gorana%20Jelic%20Mrcelic">Gorana Jelic Mrcelic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to reduce greenhouse gas emissions from ships, technical and operational measures can be used. Operational measures are easier and cheaper compared to technical measures, so are well recommended. One of the most cost-effective operational measure is fuel consumption. Fuel consumption can be reduced by various options but it sometimes needs investments in new equipment, new procedures and crew education. In order to implement operational measures in everyday procedures and routines on board, good understanding of the mechanisms by which these measures work is essential for the seamen. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=green%20shipping" title="green shipping">green shipping</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20emission%20reduction" title=" gas emission reduction"> gas emission reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=operational%20measures" title=" operational measures"> operational measures</a>, <a href="https://publications.waset.org/abstracts/search?q=seamen" title=" seamen"> seamen</a> </p> <a href="https://publications.waset.org/abstracts/20223/operational-measures-for-greenhouse-gas-reduction-from-ships" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20223.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">522</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3761</span> Grid Based Traffic Vulnerability Model Using Betweenness Centrality for Urban Disaster Management Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Okyu%20Kwon">Okyu Kwon</a>, <a href="https://publications.waset.org/abstracts/search?q=Dongho%20Kang"> Dongho Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Byungsik%20Kim"> Byungsik Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Seungkwon%20Jung"> Seungkwon Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose a technique to measure the impact of loss of traffic function in a particular area to surrounding areas. The proposed method is applied to the city of Seoul, which is the capital of South Korea, with a population of about ten million. Based on the actual road network in Seoul, we construct an abstract road network between 1kmx1km grid cells. The link weight of the abstract road network is re-adjusted considering traffic volume measured at several survey points. On the modified abstract road network, we evaluate the traffic vulnerability by calculating a network measure of betweenness centrality (BC) for every single grid cells. This study analyzes traffic impacts caused by road dysfunction due to heavy rainfall in urban areas. We could see the change of the BC value in all other grid cells by calculating the BC value once again when the specific grid cell lost its traffic function, that is, when the node disappeared on the grid-based road network. The results show that it is appropriate to use the sum of the BC variation of other cells as the influence index of each lattice cell on traffic. This research was supported by a grant (2017-MOIS31-004) from Fundamental Technology Development Program for Extreme Disaster Response funded by Korean Ministry of Interior and Safety (MOIS). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vulnerability" title="vulnerability">vulnerability</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20network" title=" road network"> road network</a>, <a href="https://publications.waset.org/abstracts/search?q=beweenness%20centrality" title=" beweenness centrality"> beweenness centrality</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20rainfall" title=" heavy rainfall"> heavy rainfall</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20impact" title=" road impact"> road impact</a> </p> <a href="https://publications.waset.org/abstracts/112207/grid-based-traffic-vulnerability-model-using-betweenness-centrality-for-urban-disaster-management-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112207.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">99</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3760</span> Social Network Analysis, Social Power in Water Co-Management (Case Study: Iran, Shemiranat, Jirood Village)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fariba%20Ebrahimi">Fariba Ebrahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Ghorbani"> Mehdi Ghorbani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Salajegheh"> Ali Salajegheh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Comprehensively water management considers economic, environmental, technical and social and also sustainability of water resources for future generations. Grassland management implies cooperative approach and involves all stakeholders and also introduces issues to managers, decision and policy makers. Solving these issues needs integrated and system approach. According to the recognition of actors or key persons in necessary to apply cooperative management of Water. Therefore, based on stakeholder analysis and social network analysis can be used to demonstrate the most effective actors for environmental decisions. In this research, social powers according are specified to social network approach at Water utilizers’ level of Natural in Jirood catchment of Latian basin. In this paper, utilizers of water resources were recognized using field trips and then, trust and collaboration matrix produced using questionnaires. In the next step, degree centrality index were Examined. Finally, geometric position of each actor was illustrated in the network. The results of the research based on centrality index have a key role in recognition of cooperative management of Water in Jirood and also will help managers and planners of water in the case of recognition of social powers in order to organization and implementation of sustainable management of Water. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20network%20analysis" title="social network analysis">social network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20co-management" title=" water co-management"> water co-management</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20power" title=" social power"> social power</a>, <a href="https://publications.waset.org/abstracts/search?q=centrality%20index" title=" centrality index"> centrality index</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20stakeholders%20network" title=" local stakeholders network"> local stakeholders network</a>, <a href="https://publications.waset.org/abstracts/search?q=Jirood%20catchment" title=" Jirood catchment"> Jirood catchment</a> </p> <a href="https://publications.waset.org/abstracts/37464/social-network-analysis-social-power-in-water-co-management-case-study-iran-shemiranat-jirood-village" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37464.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">378</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3759</span> Empirical Exploration of Correlations between Software Design Measures: A Replication Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jehad%20Al%20Dallal">Jehad Al Dallal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Software engineers apply different measures to quantify the quality of software design. These measures consider artifacts developed at low or high level software design phases. The results are used to point to design weaknesses and to indicate design points that have to be restructured. Understanding the relationship among the quality measures and among the design quality aspects considered by these measures is important to interpreting the impact of a measure for a quality aspect on other potentially related aspects. In addition, exploring the relationship between quality measures helps to explain the impact of different quality measures on external quality aspects, such as reliability and maintainability. In this paper, we report a replication study that empirically explores the correlation between six well known and commonly applied design quality measures. These measures consider several quality aspects, including complexity, cohesion, coupling, and inheritance. The results indicate that inheritance measures are weakly correlated to other measures, whereas complexity, coupling, and cohesion measures are mostly strongly correlated.   <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=quality%20attribute" title="quality attribute">quality attribute</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20measure" title=" quality measure"> quality measure</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20design%20quality" title=" software design quality"> software design quality</a>, <a href="https://publications.waset.org/abstracts/search?q=Spearman%20correlation" title=" Spearman correlation"> Spearman correlation</a> </p> <a href="https://publications.waset.org/abstracts/77694/empirical-exploration-of-correlations-between-software-design-measures-a-replication-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77694.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">304</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3758</span> Keyword Network Analysis on the Research Trends of Life-Long Education for People with Disabilities in Korea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jakyoung%20Kim">Jakyoung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungwook%20Jang"> Sungwook Jang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to examine the research trends of life-long education for people with disabilities using a keyword network analysis. For this purpose, 151 papers were selected from 594 papers retrieved using keywords such as 'people with disabilities' and 'life-long education' in the Korean Education and Research Information Service. The Keyword network analysis was constructed by extracting and coding the keyword used in the title of the selected papers. The frequency of the extracted keywords, the centrality of degree, and betweenness was analyzed by the keyword network. The results of the keyword network analysis are as follows. First, the main keywords that appeared frequently in the study of life-long education for people with disabilities were 'people with disabilities', 'life-long education', 'developmental disabilities', 'current situations', 'development'. The research trends of life-long education for people with disabilities are focused on the current status of the life-long education and the program development. Second, the keyword network analysis and visualization showed that the keywords with high frequency of occurrences also generally have high degree centrality and betweenness centrality. In terms of the keyword network diagram, it was confirmed that research trends of life-long education for people with disabilities are centered on six prominent keywords. Based on these results, it was discussed that life-long education for people with disabilities in the future needs to expand the subjects and the supporting areas of the life-long education, and the research needs to be further expanded into more detailed and specific areas.  <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=life-long%20education" title="life-long education">life-long education</a>, <a href="https://publications.waset.org/abstracts/search?q=people%20with%20disabilities" title=" people with disabilities"> people with disabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=research%20trends" title=" research trends"> research trends</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword%20network%20analysis" title=" keyword network analysis"> keyword network analysis</a> </p> <a href="https://publications.waset.org/abstracts/72646/keyword-network-analysis-on-the-research-trends-of-life-long-education-for-people-with-disabilities-in-korea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72646.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3757</span> CSoS-STRE: A Combat System-of-System Space-Time Resilience Enhancement Framework</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiuyao%20Jiang">Jiuyao Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiahao%20Liu"> Jiahao Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jichao%20Li"> Jichao Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Kewei%20Yang"> Kewei Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Minghao%20Li"> Minghao Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Bingfeng%20Ge"> Bingfeng Ge</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modern warfare has transitioned from the paradigm of isolated combat forces to system-to-system confrontations due to advancements in combat technologies and application concepts. A combat system-of-systems (CSoS) is a combat network composed of independently operating entities that interact with one another to provide overall operational capabilities. Enhancing the resilience of CSoS is garnering increasing attention due to its significant practical value in optimizing network architectures, improving network security and refining operational planning. Accordingly, a unified framework called CSoS space-time resilience enhancement (CSoS-STRE) has been proposed, which enhances the resilience of CSoS by incorporating spatial features. Firstly, a multilayer spatial combat network model has been constructed, which incorporates an information layer depicting the interrelations among combat entities based on the OODA loop, along with a spatial layer that considers the spatial characteristics of equipment entities, thereby accurately reflecting the actual combat process. Secondly, building upon the combat network model, a spatiotemporal resilience optimization model is proposed, which reformulates the resilience optimization problem as a classical linear optimization model with spatial features. Furthermore, the model is extended from scenarios without obstacles to those with obstacles, thereby further emphasizing the importance of spatial characteristics. Thirdly, a resilience-oriented recovery optimization method based on improved non dominated sorting genetic algorithm II (R-INSGA) is proposed to determine the optimal recovery sequence for the damaged entities. This method not only considers spatial features but also provides the optimal travel path for multiple recovery teams. Finally, the feasibility, effectiveness, and superiority of the CSoS-STRE are demonstrated through a case study. Simultaneously, under deliberate attack conditions based on degree centrality and maximum operational loop performance, the proposed CSoS-STRE method is compared with six baseline recovery strategies, which are based on performance, time, degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. The comparison demonstrates that CSoS-STRE achieves faster convergence and superior performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=space-time%20resilience%20enhancement" title="space-time resilience enhancement">space-time resilience enhancement</a>, <a href="https://publications.waset.org/abstracts/search?q=resilience%20optimization%20model" title=" resilience optimization model"> resilience optimization model</a>, <a href="https://publications.waset.org/abstracts/search?q=combat%20system-of-systems" title=" combat system-of-systems"> combat system-of-systems</a>, <a href="https://publications.waset.org/abstracts/search?q=recovery%20optimization%20method" title=" recovery optimization method"> recovery optimization method</a>, <a href="https://publications.waset.org/abstracts/search?q=no-obstacles%20and%20obstacles" title=" no-obstacles and obstacles"> no-obstacles and obstacles</a> </p> <a href="https://publications.waset.org/abstracts/193217/csos-stre-a-combat-system-of-system-space-time-resilience-enhancement-framework" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193217.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">26</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3756</span> Agglomerative Hierarchical Clustering Using the Tθ Family of Similarity Measures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salima%20Kouici">Salima Kouici</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelkader%20Khelladi"> Abdelkader Khelladi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we begin with the presentation of the Tθ family of usual similarity measures concerning multidimensional binary data. Subsequently, some properties of these measures are proposed. Finally, the impact of the use of different inter-elements measures on the results of the Agglomerative Hierarchical Clustering Methods is studied. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=binary%20data" title="binary data">binary data</a>, <a href="https://publications.waset.org/abstracts/search?q=similarity%20measure" title=" similarity measure"> similarity measure</a>, <a href="https://publications.waset.org/abstracts/search?q=T%CE%B8%20measures" title=" Tθ measures"> Tθ measures</a>, <a href="https://publications.waset.org/abstracts/search?q=agglomerative%20hierarchical%20clustering" title=" agglomerative hierarchical clustering"> agglomerative hierarchical clustering</a> </p> <a href="https://publications.waset.org/abstracts/13108/agglomerative-hierarchical-clustering-using-the-tth-family-of-similarity-measures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13108.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">488</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3755</span> A Holistic Approach to Institutional Cyber Security</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Kargaci">Mehmet Kargaci</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is more important to access information than to get the correct information and to transform it to the knowledge in a proper way. Every person, organizations or governments who have the knowledge now become the target. Cyber security involves the range of measures to be taken from individual to the national level. The National institutions refer to academic, military and major public and private institutions, which are very important for the national security. Thus they need further cyber security measures. It appears that the traditional cyber security measures in the national level are alone not sufficient, while the individual measures remain in a restricted level. It is evaluated that the most appropriate method for preventing the cyber vulnerabilities rather than existing measures are to develop institutional measures. This study examines the cyber security measures to be taken, especially in the national institutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cyber%20defence" title="cyber defence">cyber defence</a>, <a href="https://publications.waset.org/abstracts/search?q=information" title=" information"> information</a>, <a href="https://publications.waset.org/abstracts/search?q=critical%20infrastructure" title=" critical infrastructure"> critical infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a> </p> <a href="https://publications.waset.org/abstracts/26126/a-holistic-approach-to-institutional-cyber-security" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26126.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">542</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3754</span> Social Network Analysis in Water Governance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faribaebrahimi">Faribaebrahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Ghorbani"> Mehdi Ghorbani</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohsen%20Mohsenisaravi"> Mohsen Mohsenisaravi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ecosystem management is complex because of natural and human issues. To cope with this complexity water governance is recommended since it involves all stakeholders including people, governmental and non-governmental organization who related to environmental systems. Water governance emphasizes on water co-management through consideration of all the stakeholders in the form of social and organizational network. In this research, to illustrate indicators of water governance in Dorood watershed, in Shemiranat region of Iran, social network analysis had been applied. The results revealed that social cohesion among pastoralists in Dorood is medium because of trust links, while link sustainability is weak to medium. According to the results, some pastoralists have high social power and therefore are key actors in the utilization network, regarding to centrality index and trust links. The results also demonstrated that Agricultural Development Office and (Shemshak-Darbandsar Islamic) Council are key actors in rangeland co-management, based on centrality index in rangeland institutional network at regional scale in Shemiranat district. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20network%20analysis" title="social network analysis">social network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20governance" title=" water governance"> water governance</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20network" title=" organizational network"> organizational network</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20co-management" title=" water co-management"> water co-management</a> </p> <a href="https://publications.waset.org/abstracts/37465/social-network-analysis-in-water-governance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37465.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">357</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3753</span> Exploring Research Trends and Topics in Intervention on Metabolic Syndrome Using Network Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Soo-Kyoung">Lee Soo-Kyoung</a>, <a href="https://publications.waset.org/abstracts/search?q=Kim%20Young-Su"> Kim Young-Su</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study established a network related to metabolic syndrome intervention by conducting a social network analysis of titles, keywords, and abstracts, and it identified emerging topics of research. It visualized an interconnection between critical keywords and investigated their frequency of appearance to construe the trends in metabolic syndrome intervention measures used in studies conducted over 38 years (1979–2017). It examined a collection of keywords from 8,285 studies using text rank analyzer, NetMiner 4.0. The analysis revealed 5 groups of newly emerging keywords in the research. By examining the relationship between keywords with reference to their betweenness centrality, the following clusters were identified. Thus if new researchers refer to existing trends to establish the subject of their study and the direction of the development of future research on metabolic syndrome intervention can be predicted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intervention" title="intervention">intervention</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=research" title=" research"> research</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20trend" title=" the trend"> the trend</a> </p> <a href="https://publications.waset.org/abstracts/92248/exploring-research-trends-and-topics-in-intervention-on-metabolic-syndrome-using-network-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92248.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3752</span> Interbank Networks and the Benefits of Using Multilayer Structures </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danielle%20Sandler%20dos%20Passos">Danielle Sandler dos Passos</a>, <a href="https://publications.waset.org/abstracts/search?q=Helder%20Coelho"> Helder Coelho</a>, <a href="https://publications.waset.org/abstracts/search?q=Fl%C3%A1via%20Mori%20Sarti"> Flávia Mori Sarti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Complexity science seeks the understanding of systems adopting diverse theories from various areas. Network analysis has been gaining space and credibility, namely with the biological, social and economic systems. Significant part of the literature focuses only monolayer representations of connections among agents considering one level of their relationships, and excludes other levels of interactions, leading to simplistic results in network analysis. Therefore, this work aims to demonstrate the advantages of the use of multilayer networks for the representation and analysis of networks. For this, we analyzed an interbank network, composed of 42 banks, comparing the centrality measures of the agents (degree and PageRank) resulting from each method (monolayer <em>x</em> multilayer). This proved to be the most reliable and efficient the multilayer analysis for the study of the current networks and highlighted JP Morgan and Deutsche Bank as the most important banks of the analyzed network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complexity" title="complexity">complexity</a>, <a href="https://publications.waset.org/abstracts/search?q=interbank%20networks" title=" interbank networks"> interbank networks</a>, <a href="https://publications.waset.org/abstracts/search?q=multilayer%20networks" title=" multilayer networks"> multilayer networks</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a> </p> <a href="https://publications.waset.org/abstracts/92811/interbank-networks-and-the-benefits-of-using-multilayer-structures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92811.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">289</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3751</span> Psychometric Examination of the QUEST-25: An Online Assessment of Intellectual Curiosity and Scientific Epistemology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matthew%20J.%20Zagumny">Matthew J. Zagumny</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current study reports an examination of the QUEST-25 (Q-Assessment of Undergraduate Epistemology and Scientific Thinking) online version for assessing the dispositional attitudes toward scientific thinking and intellectual curiosity among undergraduate students. The QUEST-25 consists of scientific thinking (SIQ-25) and intellectual curiosity (ICIQ-25), which were correlated in hypothesized directions with the Religious Commitment Inventory, Curiosity and Exploration Inventory, Belief in Science scale, and measures of academic self-efficacy. Additionally, concurrent validity was established by the resulting significant differences between those identifying the centrality of religious belief in their lives and those who do not self-identify as being guided daily by religious beliefs. This study demonstrates the utility of the QUEST-25 for research, evaluation, and theory development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=guided-inquiry%20learning" title="guided-inquiry learning">guided-inquiry learning</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20curiosity" title=" intellectual curiosity"> intellectual curiosity</a>, <a href="https://publications.waset.org/abstracts/search?q=psychometric%20assessment" title=" psychometric assessment"> psychometric assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=scientific%20thinking" title=" scientific thinking"> scientific thinking</a> </p> <a href="https://publications.waset.org/abstracts/94103/psychometric-examination-of-the-quest-25-an-online-assessment-of-intellectual-curiosity-and-scientific-epistemology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94103.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">267</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3750</span> Proposal of a Model Supporting Decision-Making on Information Security Risk Treatment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ritsuko%20Kawasaki">Ritsuko Kawasaki</a>, <a href="https://publications.waset.org/abstracts/search?q=Takeshi%20Hiromatsu"> Takeshi Hiromatsu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Management is required to understand all information security risks within an organization, and to make decisions on which information security risks should be treated in what level by allocating how much amount of cost. However, such decision-making is not usually easy, because various measures for risk treatment must be selected with the suitable application levels. In addition, some measures may have objectives conflicting with each other. It also makes the selection difficult. Therefore, this paper provides a model which supports the selection of measures by applying multi-objective analysis to find an optimal solution. Additionally, a list of measures is also provided to make the selection easier and more effective without any leakage of measures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=information%20security%20risk%20treatment" title="information security risk treatment">information security risk treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=selection%20of%20risk%20measures" title=" selection of risk measures"> selection of risk measures</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20acceptance" title=" risk acceptance"> risk acceptance</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-objective%20optimization" title=" multi-objective optimization"> multi-objective optimization</a> </p> <a href="https://publications.waset.org/abstracts/6491/proposal-of-a-model-supporting-decision-making-on-information-security-risk-treatment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6491.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">384</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3749</span> A Review of Physiological Measures for Cognitive Workload Assessment of Aircrew</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naveed%20Tahir">Naveed Tahir</a>, <a href="https://publications.waset.org/abstracts/search?q=Adnan%20Maqsood"> Adnan Maqsood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cognitive workload is a significant factor affecting user performance, and it has been broadly investigated for its application in ergonomics as well as in designing and optimizing effective human-machine interactions. It is mentally challenging to maneuver an aircraft, and pilots must control the aircraft and adequately communicate to the verbal-auditory stimuli. Several physiological measures have long been researched and used to demonstrate the cognitive workload. In our current study, we have summarized recent findings of the effectiveness, accuracy, and applicability of commonly used physiological measures in evaluating cognitive workload. We have also highlighted on the advancements in physiological measures. The strength and limitations of physiological measures have also been discussed to assess the cognitive workload of people, especially the aircrews in laboratory settings and real-time situations. We have presented the research findings of the physiological measures to base suggestions on the proper applications of the measures and settings demanding the use of single measure or their combinations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aircrew" title="aircrew">aircrew</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20workload" title=" cognitive workload"> cognitive workload</a>, <a href="https://publications.waset.org/abstracts/search?q=subjective%20measure" title=" subjective measure"> subjective measure</a>, <a href="https://publications.waset.org/abstracts/search?q=physiological%20measure" title=" physiological measure"> physiological measure</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20measure" title=" performance measure"> performance measure</a> </p> <a href="https://publications.waset.org/abstracts/137265/a-review-of-physiological-measures-for-cognitive-workload-assessment-of-aircrew" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137265.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3748</span> Exploring Gender Bias in Self-Report Measures of Psychopathy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Katie%20Strong">Katie Strong</a>, <a href="https://publications.waset.org/abstracts/search?q=Brian%20P.%20O%27Connor"> Brian P. O'Connor</a>, <a href="https://publications.waset.org/abstracts/search?q=Jacqueline%20M.%20Kanippayoor"> Jacqueline M. Kanippayoor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To date, self-report measures of psychopathy have largely been conceptualized with a male-focused understanding of the disorder, with the presumption that psychopathy expression is uniform across genders. However, generalizing this understanding to the female population may be misleading. The objective of this research was to explore gender differences in the expression of psychopathy and to assess current self-report psychopathy measures for gender bias. It was hypothesized that some items in commonly used measures of psychopathy may show gender bias and that existing measures may not contain enough items that are relevant to the manifestation of psychopathy in women. An exploratory investigation was conducted on statistical bias in common measures of psychopathy, and novel, relevant, but previously neglected items and measures were included in a new data collection. The participant pool included a sample of 403 university students and 354 participants recruited using Amazon Mechanical Turk. Item Response Theory methods - including Differential Item Functioning - were used to assess for the item- and test- level bias across several common self-report measures of psychopathy. Analyses indicated occasional and modest levels of item-level bias, and that some additional female-relevant items merit consideration for inclusion in measures of psychopathy. These findings suggest that current self-report measures of psychopathy may be demonstrating gender-bias and warrant further examination. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gender" title="gender">gender</a>, <a href="https://publications.waset.org/abstracts/search?q=measurement%20bias" title=" measurement bias"> measurement bias</a>, <a href="https://publications.waset.org/abstracts/search?q=personality" title=" personality"> personality</a>, <a href="https://publications.waset.org/abstracts/search?q=psychopathy" title=" psychopathy"> psychopathy</a> </p> <a href="https://publications.waset.org/abstracts/90586/exploring-gender-bias-in-self-report-measures-of-psychopathy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90586.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">262</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3747</span> Traffic Calming Measures at Rural Roads in Dhofar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Bakhit%20Kashoob">Mohammed Bakhit Kashoob</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Salim%20Al-Maashani"> Mohammed Salim Al-Maashani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Abdullah%20Al-Marhoon"> Ahmed Abdullah Al-Marhoon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic calming measures are different design features or strategies used to reduce the speed of a traveling vehicle on a particular road. These calming measures are common on rural roads of Oman. Some of these measures are road speed limits, vertical deflections, horizontal deflections, and road signs. In general, vertical deflections such as rumble strips, road studs (cat’s eye), speed tables, and speed humps are widely used. In this paper, as vehicle speeding is a major cause of road traffic crashes and high fatalities in Oman, the effectiveness of existing traffic calming measures at current locations on rural roads is assessed. The study was conducted on the rural roads of Dhofar Governorate, which is located in the south of Oman. A special focus is given to the calming measures implemented on the mountain roads of Dhofar. It is shown that vertical deflection calming measures are effective in reducing vehicle speed to 20 to 40 kph, depending on the vertical deflection type and spacing. Calming measures are also proposed at locations with a high probability of traffic crashes based on the number of traffic crashes at these locations, road type, and road geometry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title="road safety">road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20roads" title=" rural roads"> rural roads</a>, <a href="https://publications.waset.org/abstracts/search?q=speed" title=" speed"> speed</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20calming%20measures" title=" traffic calming measures"> traffic calming measures</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20crash" title=" traffic crash"> traffic crash</a> </p> <a href="https://publications.waset.org/abstracts/153200/traffic-calming-measures-at-rural-roads-in-dhofar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153200.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">126</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3746</span> Subway Ridership Estimation at a Station-Level: Focus on the Impact of Bus Demand, Commercial Business Characteristics and Network Topology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jungyeol%20Hong">Jungyeol Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Dongjoo%20Park"> Dongjoo Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The primary purpose of this study is to develop a methodological framework to predict daily subway ridership at a station-level and to examine the association between subway ridership and bus demand incorporating commercial business facility in the vicinity of each subway station. The socio-economic characteristics, land-use, and built environment as factors may have an impact on subway ridership. However, it should be considered not only the endogenous relationship between bus and subway demand but also the characteristics of commercial business within a subway station’s sphere of influence, and integrated transit network topology. Regarding a statistical approach to estimate subway ridership at a station level, therefore it should be considered endogeneity and heteroscedastic issues which might have in the subway ridership prediction model. This study focused on both discovering the impacts of bus demand, commercial business characteristics, and network topology on subway ridership and developing more precise subway ridership estimation accounting for its statistical bias. The spatial scope of the study covers entire Seoul city in South Korea and includes 243 stations with the temporal scope set at twenty-four hours with one-hour interval time panels each. The data for subway and bus ridership was collected Seoul Smart Card data from 2015 and 2016. Three-Stage Least Square(3SLS) approach was applied to develop daily subway ridership model as capturing the endogeneity and heteroscedasticity between bus and subway demand. Independent variables incorporating in the modeling process were commercial business characteristics, social-economic characteristics, safety index, transit facility attributes, and dummies for seasons and time zone. As a result, it was found that bus ridership and subway ridership were endogenous each other and they had a significantly positive sign of coefficients which means one transit mode could increase another transportation mode’s ridership. In other words, two transit modes of subway and bus have a mutual relationship instead of the competitive relationship. The commercial business characteristics are the most critical dimension among the independent variables. The variables of commercial business facility rate in the paper containing six types; medical, educational, recreational, financial, food service, and shopping. From the model result, a higher rate in medical, financial buildings, shopping, and food service facility lead to increment of subway ridership at a station, while recreational and educational facility shows lower subway ridership. The complex network theory was applied for estimating integrated network topology measures that cover the entire Seoul transit network system, and a framework for seeking an impact on subway ridership. The centrality measures were found to be significant and showed a positive sign indicating higher centrality led to more subway ridership at a station level. The results of model accuracy tests by out of samples provided that 3SLS model has less mean square error rather than OLS and showed the methodological approach for the 3SLS model was plausible to estimate more accurate subway ridership. Acknowledgement: This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (2017R1C1B2010175). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=subway%20ridership" title="subway ridership">subway ridership</a>, <a href="https://publications.waset.org/abstracts/search?q=bus%20ridership" title=" bus ridership"> bus ridership</a>, <a href="https://publications.waset.org/abstracts/search?q=commercial%20business%20characteristic" title=" commercial business characteristic"> commercial business characteristic</a>, <a href="https://publications.waset.org/abstracts/search?q=endogeneity" title=" endogeneity"> endogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20topology" title=" network topology"> network topology</a> </p> <a href="https://publications.waset.org/abstracts/95629/subway-ridership-estimation-at-a-station-level-focus-on-the-impact-of-bus-demand-commercial-business-characteristics-and-network-topology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3745</span> Correlation between Fuel Consumption and Voyage Related Ship Operational Energy Efficiency Measures: An Analysis from Noon Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Bal%20Be%C5%9Fik%C3%A7i">E. Bal Beşikçi</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20Arslan"> O. Arslan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fuel saving has become one of the most important issue for shipping in terms of fuel economy and environmental impact. Lowering fuel consumption is possible for both new ships and existing ships through enhanced energy efficiency measures, technical and operational respectively. The limitations of applying technical measures due to the long payback duration raise the potential of operational changes for energy efficient ship operations. This study identifies operational energy efficiency measures related voyage performance management. We use ‘noon’ data to examine the correlation between fuel consumption and operational parameters- revolutions per minute (RPM), draft, trim, (beaufort number) BN and relative wind direction, which are used as measures of ship energy efficiency. The results of this study reveal that speed optimization is the most efficient method as fuel consumption depends heavily on RPM. In conclusion, this study will provide ship operators with the strategic approach for evaluating the priority of the operational energy efficiency measures against high fuel prices and carbon emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ship" title="ship">ship</a>, <a href="https://publications.waset.org/abstracts/search?q=voyage%20related%20operational%20energy%20Efficiency%20measures" title=" voyage related operational energy Efficiency measures"> voyage related operational energy Efficiency measures</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20consumption" title=" fuel consumption"> fuel consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=pearson%27s%20correlation%20coef%EF%AC%81cient" title=" pearson's correlation coefﬁcient "> pearson's correlation coefﬁcient </a> </p> <a href="https://publications.waset.org/abstracts/25303/correlation-between-fuel-consumption-and-voyage-related-ship-operational-energy-efficiency-measures-an-analysis-from-noon-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25303.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">619</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=centrality%20measures&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=centrality%20measures&page=3">3</a></li> <li class="page-item"><a class="page-link" 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