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network</title> <meta name="description" content="Search results for: social network"> <meta name="keywords" content="social network"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="social network"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div 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> 13577</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: social network</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13577</span> Using Mixed Methods in Studying Classroom Social Network Dynamics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nashrawan%20Naser%20Taha">Nashrawan Naser Taha</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrew%20M.%20Cox"> Andrew M. Cox</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a multi-cultural learning context, where ties are weak and dynamic, combining qualitative with quantitative research methods may be more effective. Such a combination may also allow us to answer different types of question, such as about people’s perception of the network. In this study the use of observation, interviews and photos were explored as ways of enhancing data from social network questionnaires. Integrating all of these methods was found to enhance the quality of data collected and its accuracy, also providing a richer story of the network dynamics and the factors that shaped these changes over time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mixed%20methods" title="mixed methods">mixed methods</a>, <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=multi-cultural%20learning" title=" multi-cultural learning"> multi-cultural learning</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network%20dynamics" title=" social network dynamics"> social network dynamics</a> </p> <a href="https://publications.waset.org/abstracts/15500/using-mixed-methods-in-studying-classroom-social-network-dynamics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15500.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">510</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">13576</span> Retaining Users in a Commercially-Supported Social Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sasiphan%20Nitayaprapha">Sasiphan Nitayaprapha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A commercially-supported social network has become an emerging channel for an organization to communicate with and provide services to customers. The success of the commercially-supported social network depends on the ability of the organization to keep the customers in participating in the network. Drawing from the theories of information adoption, information systems continuance, and web usability, the author develops a model to explore how a commercially-supported social network can encourage customers to continue participating and using the information in the network. The theoretical model will be proved through an online survey of customers using the commercially-supported social networking sites of several high technology companies operating in the same sector. The result will be compared with previous studies to learn about the explanatory power of the research model, and to identify the main factors determining users’ intention to continue using a commercially-supported social network. Theoretical and practical implications, and limitations are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20network" title="social network">social network</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20adoption" title=" information adoption"> information adoption</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20systems%20continuance" title=" information systems continuance"> information systems continuance</a>, <a href="https://publications.waset.org/abstracts/search?q=web%20usability" title=" web usability"> web usability</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20satisfaction" title=" user satisfaction"> user satisfaction</a> </p> <a href="https://publications.waset.org/abstracts/2610/retaining-users-in-a-commercially-supported-social-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2610.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">316</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">13575</span> A Social Network Analysis of the Palestinian Feminist Network Tal3at</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maath%20M.%20Musleh">Maath M. Musleh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research aims to study recent trends in the Palestinian feminist movement through the case study of Tal3at. The study uses social network analysis as its primary method to analyze Twitter data. It attempts to interpret results through the lens of network theories and Parson’s AGIL paradigm. The study reveals major structural weaknesses in the Tal3at network. Our findings suggest that the movement will decline soon as sentiments of alienation amongst Palestinian women increases. These findings were validated by a couple of central actors in the network. This study contributes an SNA approach to the understanding of the understudied Palestinian feminism. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=feminism" title="feminism">feminism</a>, <a href="https://publications.waset.org/abstracts/search?q=Palestine" title=" Palestine"> Palestine</a>, <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=Tal3at" title=" Tal3at"> Tal3at</a> </p> <a href="https://publications.waset.org/abstracts/136124/a-social-network-analysis-of-the-palestinian-feminist-network-tal3at" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136124.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">264</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">13574</span> The Relation Between Social Capital and Trust with Social Network Analysis (SNA)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Safak%20Baykal">Safak Baykal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is analyzing the relationship between self leadership and social capital of people with using Social Network Analysis. In this study, two aspects of social capital will be focused: bonding, homophilous social capital (BoSC) which implies better, strong, dense or closed network ties, and bridging, heterophilous social capital (BrSC) which implies weak ties, bridging the structural holes. The other concept of the study is Trust (Tr), namely interpersonal trust, willingness to ascribe good intentions to and have confidence in the words and actions of other people. In this study, the sample group, 61 people, was selected from a private firm from the defense industry. The relation between BoSC/BrSC and Tr is shown by using Social Network Analysis (SNA) and statistical analysis with Likert type-questionnaire. The results of the analysis show the Cronbach’s alpha value is 0.73 and social capital values (BoSC/BrSC) is highly correlated with Tr values of the people. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bonding%20social%20capital" title="bonding social capital">bonding social capital</a>, <a href="https://publications.waset.org/abstracts/search?q=bridging%20social%20capital" title=" bridging social capital"> bridging social capital</a>, <a href="https://publications.waset.org/abstracts/search?q=trust" title=" trust"> trust</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network%20analysis%20%28SNA%29" title=" social network analysis (SNA)"> social network analysis (SNA)</a> </p> <a href="https://publications.waset.org/abstracts/35306/the-relation-between-social-capital-and-trust-with-social-network-analysis-sna" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35306.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">529</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">13573</span> A Review of Literature for Online Social Network Business Continuance Intention and the Hypotheses Thereof</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Akwesi%20Assensoh-Kodua">Akwesi Assensoh-Kodua</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Online Social Networks (OSN) has come and gone, yet the explosion of business activities on such platforms continuous to surge high, giving advantage to the bold entrepreneurs. It is therefore a practical requirement that practitioners and researchers understand the key determinants of costumers’ online social network business activities and continuance intention. An exploratory literature research to examine OSN continuous intention of business participants on OSN revealed that the practice of doing business on social network has come to stay and the following factors are the likely drivers for this new business model: perceived trust, perceived ease of use, confirmation, habit, social norm, perceived behavioural control, expected benefit, and satisfaction are the most probable factors that can lead to online social network (OSN) continuance intention. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20social%20network" title="online social network">online social network</a>, <a href="https://publications.waset.org/abstracts/search?q=continuance%20intention" title=" continuance intention"> continuance intention</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20continuance" title=" business continuance"> business continuance</a> </p> <a href="https://publications.waset.org/abstracts/2126/a-review-of-literature-for-online-social-network-business-continuance-intention-and-the-hypotheses-thereof" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2126.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">493</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">13572</span> Factors of Social Network Platform Usage and Privacy Risk: A Unified Theory of Acceptance and Use of Technology2 Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wang%20Xue">Wang Xue</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Liwei"> Fan Liwei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The trust and use of social network platforms by users are instrumental factors that contribute to the platform’s sustainable development. Studying the influential factors of the use of social network platforms is beneficial for developing and maintaining a large user base. This study constructed an extended unified theory of acceptance and use of technology (UTAUT2) moderating model with perceived privacy risks to analyze the factors affecting the trust and use of social network platforms. 444 participants completed our 35 surveys, and we verified the survey results by structural equation model. Empirical results reveal the influencing factors that affect the trust and use of social network platforms, and the extended UTAUT2 model with perceived privacy risks increases the applicability of UTAUT2 in social network scenarios. Social networking platforms can increase their use rate by increasing the economics, functionality, entertainment, and privacy security of the platform. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=perceived%20privacy%20risk" title="perceived privacy risk">perceived privacy risk</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a>, <a href="https://publications.waset.org/abstracts/search?q=trust" title=" trust"> trust</a>, <a href="https://publications.waset.org/abstracts/search?q=use" title=" use"> use</a>, <a href="https://publications.waset.org/abstracts/search?q=UTAUT2%20model" title=" UTAUT2 model"> UTAUT2 model</a> </p> <a href="https://publications.waset.org/abstracts/159707/factors-of-social-network-platform-usage-and-privacy-risk-a-unified-theory-of-acceptance-and-use-of-technology2-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159707.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">98</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">13571</span> A Blockchain-Based Protection Strategy against Social Network Phishing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francesco%20Buccafurri">Francesco Buccafurri</a>, <a href="https://publications.waset.org/abstracts/search?q=Celeste%20Romolo"> Celeste Romolo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays phishing is the most frequent starting point of cyber-attack vectors. Phishing is implemented both via email and social network messages. While a wide scientific literature exists which addresses the problem of contrasting email spam-phishing, no specific countermeasure has been so far proposed for phishing included into private messages of social network platforms. Unfortunately, the problem is severe. This paper proposes an approach against social network phishing, based on a non invasive collaborative information-sharing approach which leverages blockchain. The detection method works by filtering candidate messages, by distilling them by means of a distance-preserving hash function, and by publishing hashes over a public blockchain through a trusted smart contract (thus avoiding denial of service attacks). Phishing detection exploits social information embedded into social network profiles to identify similar messages belonging to disjoint contexts. The main contribution of the paper is to introduce a new approach to contrasting the problem of social network phishing, which, despite its severity, received little attention by both research and industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=phishing" title="phishing">phishing</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networks" title=" social networks"> social networks</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20sharing" title=" information sharing"> information sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=blockchain" title=" blockchain"> blockchain</a> </p> <a href="https://publications.waset.org/abstracts/90849/a-blockchain-based-protection-strategy-against-social-network-phishing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90849.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">328</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">13570</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">351</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">13569</span> A Network Approach to Analyzing Financial Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yusuf%20Seedat">Yusuf Seedat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The necessity to understand global financial markets has increased following the unfortunate spread of the recent financial crisis around the world. Financial markets are considered to be complex systems consisting of highly volatile move-ments whose indexes fluctuate without any clear pattern. Analytic methods of stock prices have been proposed in which financial markets are modeled using common network analysis tools and methods. It has been found that two key components of social network analysis are relevant to modeling financial markets, allowing us to forecast accurate predictions of stock prices within the financial market. Financial markets have a number of interacting components, leading to complex behavioral patterns. This paper describes a social network approach to analyzing financial markets as a viable approach to studying the way complex stock markets function. We also look at how social network analysis techniques and metrics are used to gauge an understanding of the evolution of financial markets as well as how community detection can be used to qualify and quantify in-fluence within a network. <p class="card-text"><strong>Keywords:</strong> <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=social%20networks" title=" social networks"> social networks</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20markets" title=" financial markets"> financial markets</a>, <a href="https://publications.waset.org/abstracts/search?q=stocks" title=" stocks"> stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=nodes" title=" nodes"> nodes</a>, <a href="https://publications.waset.org/abstracts/search?q=edges" title=" edges"> edges</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20networks" title=" complex networks"> complex networks</a> </p> <a href="https://publications.waset.org/abstracts/142621/a-network-approach-to-analyzing-financial-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142621.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">191</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">13568</span> Social Network Impact on Self Learning in Teaching and Learning in UPSI (Universiti Pendidikan Sultan Idris)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azli%20Bin%20Ariffin">Azli Bin Ariffin</a>, <a href="https://publications.waset.org/abstracts/search?q=Noor%20Amy%20Afiza%20Binti%20Mohd%20Yusof"> Noor Amy Afiza Binti Mohd Yusof</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to identify effect of social network usage on the self-learning method in teaching and learning at Sultan Idris Education University. The study involved 270 respondents consisting of students in the pre-graduate and post-graduate levels from nine fields of study offered. Assessment instrument used is questionnaire which measures respondent’s background includes level of study, years of study and field of study. Also measured the extent to which social pages used for self-learning and effect received when using social network for self-learning in learning process. The results of the study showed that students always visit Facebook more than other social sites. But, it is not for the purpose of self-learning. Analyzed data showed that 45.5% students not sure about using social sites for self-learning. But they realize the positive effect that they will received when use social sites for self-learning to improve teaching and learning process when 72.7% respondent agreed with all the statements provided. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=facebook" title="facebook">facebook</a>, <a href="https://publications.waset.org/abstracts/search?q=self-learning" title=" self-learning"> self-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching" title=" teaching"> teaching</a>, <a href="https://publications.waset.org/abstracts/search?q=learning" title=" learning"> learning</a> </p> <a href="https://publications.waset.org/abstracts/30194/social-network-impact-on-self-learning-in-teaching-and-learning-in-upsi-universiti-pendidikan-sultan-idris" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30194.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">536</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">13567</span> The Acceptance of Online Social Network Technology for Tourism Destination</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wanida%20Suwunniponth">Wanida Suwunniponth</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research was to investigate the relationship between the factors of using online social network for tourism destination in case of Bangkok area in Thailand, by extending the use of technology acceptance model (TAM). This study employed by quantitative research and the target population were entrepreneurs and local people in Bangkok who use social network-Facebook concerning tourist destinations in Bangkok. Questionnaire was used to collect data from 300 purposive samples. The multiple regression analysis and path analysis were used to analyze data. The results revealed that most people who used Facebook for promoting tourism destinations in Bangkok perceived ease of use, perceived usefulness, perceived trust in using Facebook and influenced by social normative as well as having positive attitude towards using this application. Addition, the hypothesis results indicate that acceptance of online social network-Facebook was related to the positive attitude towards using of Facebook and related to their intention to use this application for tourism. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Facebook" title="Facebook">Facebook</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20social%20network" title=" online social network"> online social network</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20acceptance%20model" title=" technology acceptance model"> technology acceptance model</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism%20destination" title=" tourism destination"> tourism destination</a> </p> <a href="https://publications.waset.org/abstracts/44005/the-acceptance-of-online-social-network-technology-for-tourism-destination" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44005.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">343</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">13566</span> Understanding the Selectional Preferences of the Twitter Mentions Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Sudhesh%20Solomon">R. Sudhesh Solomon</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Y.%20K.%20L.%20Srinivas"> P. Y. K. L. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=Abhay%20Narayan"> Abhay Narayan</a>, <a href="https://publications.waset.org/abstracts/search?q=Amitava%20Das"> Amitava Das</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Users in social networks either unicast or broadcast their messages. At mention is the popular way of unicasting for Twitter whereas general tweeting could be considered as broadcasting method. Understanding the information flow and dynamics within a Social Network and modeling the same is a promising and an open research area called Information Diffusion. This paper seeks an answer to a fundamental question - understanding if the at-mention network or the unicasting pattern in social media is purely random in nature or is there any user specific selectional preference? To answer the question we present an empirical analysis to understand the sociological aspects of Twitter mentions network within a social network community. To understand the sociological behavior we analyze the values (Schwartz model: Achievement, Benevolence, Conformity, Hedonism, Power, Security, Self-Direction, Stimulation, Traditional and Universalism) of all the users. Empirical results suggest that values traits are indeed salient cue to understand how the mention-based communication network functions. For example, we notice that individuals possessing similar values unicast among themselves more often than with other value type people. We also observe that traditional and self-directed people do not maintain very close relationship in the network with the people of different values traits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=information%20diffusion" title="information diffusion">information diffusion</a>, <a href="https://publications.waset.org/abstracts/search?q=personality%20and%20values" title=" personality and values"> personality and values</a>, <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=twitter%20mentions%20network" title=" twitter mentions network"> twitter mentions network</a> </p> <a href="https://publications.waset.org/abstracts/83483/understanding-the-selectional-preferences-of-the-twitter-mentions-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83483.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">374</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">13565</span> Value Chain Network: A Social Network Analysis of the Value Chain Actors of Recycled Polymer Products in Lagos Metropolis, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olamide%20Shittu">Olamide Shittu</a>, <a href="https://publications.waset.org/abstracts/search?q=Olayinka%20Akanle"> Olayinka Akanle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Value Chain Analysis is a common method of examining the stages involved in the production of a product, mostly agricultural produce, from the input to the consumption stage including the actors involved in each stage. However, the Functional Institutional Analysis is the most common method in literature employed to analyze the value chain of products. Apart from studying the relatively neglected phenomenon of recycled polymer products in Lagos Metropolis, this paper adopted the use of social network analysis to attempt a grounded theory of the nature of social network that exists among the value chain actors of the subject matter. The study adopted a grounded theory approach by conducting in-depth interviews, administering questionnaires and conducting observations among the identified value chain actors of recycled polymer products in Lagos Metropolis, Nigeria. The thematic analysis of the collected data gave the researchers the needed background to formulate a truly representative network of the social relationships among the value chain actors of recycled polymer products in Lagos Metropolis. The paper introduced concepts such as Transient and Perennial Social Ties to explain the observed social relations among the actors. Some actors have more social capital than others as a result of the structural holes that exist in their triad network. Households and resource recoverers are at disadvantaged position in the network as they have high constraints in their relationships with other actors. The study attempted to provide a new perspective in the study of the environmental value chain by analyzing the network of actors to bring about policy action points and improve recycling in Nigeria. Government and social entrepreneurs can exploit the structural holes that exist in the network for the socio-economic and sustainable development of the state. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recycled%20polymer%20products" title="recycled polymer products">recycled polymer products</a>, <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=social%20ties" title=" social ties"> social ties</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20chain%20analysis" title=" value chain analysis"> value chain analysis</a> </p> <a href="https://publications.waset.org/abstracts/77790/value-chain-network-a-social-network-analysis-of-the-value-chain-actors-of-recycled-polymer-products-in-lagos-metropolis-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77790.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">410</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">13564</span> Social Movements and the Diffusion of Tactics and Repertoires: Activists' Network in Anti-Globalism Movement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyoko%20Tominaga">Kyoko Tominaga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-Government Organizations (NGOs), Non-Profit Organizations (NPOs), Social Enterprises and other actors play an important role in political decisions in governments at the international levels. Especially, such organizations’ and activists’ network in civil society is quite important to effect to the global politics. To solve the complex social problems in global era, diverse actors should corporate each other. Moreover, network of protesters is also contributes to diffuse tactics, information and other resources of social movements. Based on the findings from the study of International Trade Fairs (ITFs), the author analyzes the network of activists in anti-globalism movement. This research focuses the transition of 54 activists’ whole network in the “protest event” against 2008 G8 summit in Japan. Their network is examined at the three periods: Before protest event phase, during protest event phase and after event phase. A mixed method is used in this study: the author shows the hypothesis from social network analysis and evaluates that with interview data analysis. This analysis gives the two results. Firstly, the more protesters participate to the various events during the protest event, the more they build the network. After that, active protesters keep their network as well. From interview data, we can understand that the active protesters can build their network and diffuse the information because they communicate with other participants and understand that diverse issues are related. This paper comes to same conclusion with previous researches: protest events activate the network among the political activists. However, some participants succeed to build their network, others do not. “Networked” activists are participated in the various events for short period of time and encourage the diffusion of information and tactics of social movements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20movement" title="social movement">social movement</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20justice%20movement" title=" global justice movement"> global justice movement</a>, <a href="https://publications.waset.org/abstracts/search?q=tactics" title=" tactics"> tactics</a>, <a href="https://publications.waset.org/abstracts/search?q=diffusion" title=" diffusion"> diffusion</a> </p> <a href="https://publications.waset.org/abstracts/10307/social-movements-and-the-diffusion-of-tactics-and-repertoires-activists-network-in-anti-globalism-movement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10307.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">382</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">13563</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">372</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">13562</span> Communication through Offline and Online Social Network of Thai Football Premier League Supporters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Krisana%20Chueachainat">Krisana Chueachainat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study is about the identity, typology and symbol using in communication through offline and online social network of each Thai football Premier League supporters. Also, study is about the factors that affected the sport to become the growing business and the communication factors that play the important role in the growth of the sport business. The Thai Premier League communicated with supporters in order to show the identity of each supporter and club in different ways. The expression of the identity was shown through online social network and offline told other people who they were. The study also about the factor that impacted the roles and communication factors that make football become the growing business. The factor that impact to the growth of football to the business, if clubs can action, the sport business would be to higher level and also push Thailand’s football to be effective and equal to other countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20social%20network" title="online social network">online social network</a>, <a href="https://publications.waset.org/abstracts/search?q=offline%20social%20network" title=" offline social network"> offline social network</a>, <a href="https://publications.waset.org/abstracts/search?q=Thai%20football" title=" Thai football"> Thai football</a>, <a href="https://publications.waset.org/abstracts/search?q=supporters" title=" supporters"> supporters</a> </p> <a href="https://publications.waset.org/abstracts/55737/communication-through-offline-and-online-social-network-of-thai-football-premier-league-supporters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55737.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">299</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">13561</span> Losing Benefits from Social Network Sites Usage: An Approach to Estimate the Relationship between Social Network Sites Usage and Social Capital</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maoxin%20Ye">Maoxin Ye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examines the relationship between social network sites (SNS) usage and social capital. Because SNS usage can expand the users’ networks, and people who are connected in this networks may become resources to SNS users and lead them to advantage in some situation, it is important to estimate the relationship between SNS usage and ‘who’ is connected or what resources the SNS users can get. Additionally, ‘who’ can be divided in two aspects – people who possess high position and people who are different, hence, it is important to estimate the relationship between SNS usage and high position people and different people. This study adapts Lin’s definition of social capital and the measurement of position generator which tells us who was connected, and can be divided into the same two aspects as well. A national data of America (N = 2,255) collected by Pew Research Center is utilized to do a general regression analysis about SNS usage and social capital. The results indicate that SNS usage is negatively associated with each factor of social capital, and it suggests that, in fact, comparing with non-users, although SNS users can get more connections, the variety and resources of these connections are fewer. For this reason, we could lose benefits through SNS usage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20network%20sites" title="social network sites">social network sites</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20capital" title=" social capital"> social capital</a>, <a href="https://publications.waset.org/abstracts/search?q=position%20generator" title=" position generator"> position generator</a>, <a href="https://publications.waset.org/abstracts/search?q=general%20regression" title=" general regression"> general regression</a> </p> <a href="https://publications.waset.org/abstracts/72310/losing-benefits-from-social-network-sites-usage-an-approach-to-estimate-the-relationship-between-social-network-sites-usage-and-social-capital" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72310.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">13560</span> An Approach to Maximize the Influence Spread in the Social Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gaye%20Ibrahima">Gaye Ibrahima</a>, <a href="https://publications.waset.org/abstracts/search?q=Mendy%20Gervais"> Mendy Gervais</a>, <a href="https://publications.waset.org/abstracts/search?q=Seck%20Diaraf"> Seck Diaraf</a>, <a href="https://publications.waset.org/abstracts/search?q=Ouya%20Samuel"> Ouya Samuel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we consider the influence maximization in social networks. Here we give importance to initial diffuser called the seeds. The goal is to find efficiently a subset of k elements in the social network that will begin and maximize the information diffusion process. A new approach which treats the social network before to determine the seeds, is proposed. This treatment eliminates the information feedback toward a considered element as seed by extracting an acyclic spanning social network. At first, we propose two algorithm versions called SCG − algoritm (v1 and v2) (Spanning Connected Graphalgorithm). This algorithm takes as input data a connected social network directed or no. And finally, a generalization of the SCG − algoritm is proposed. It is called SG − algoritm (Spanning Graph-algorithm) and takes as input data any graph. These two algorithms are effective and have each one a polynomial complexity. To show the pertinence of our approach, two seeds set are determined and those given by our approach give a better results. The performances of this approach are very perceptible through the simulation carried out by the R software and the igraph package. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acyclic%20spanning%20graph" title="acyclic spanning graph">acyclic spanning graph</a>, <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=information%20feedback" title=" information feedback"> information feedback</a>, <a href="https://publications.waset.org/abstracts/search?q=influence%20maximization" title=" influence maximization"> influence maximization</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a> </p> <a href="https://publications.waset.org/abstracts/44624/an-approach-to-maximize-the-influence-spread-in-the-social-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44624.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">248</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">13559</span> Impact of Social Networks on Agricultural Technology Adoption: A Case Study of Ongoing Extension Programs for Paddy Cultivation in Matara District in Sri Lanka</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Paulu%20Saramge%20Shalika%20Nirupani%20Seram">Paulu Saramge Shalika Nirupani Seram</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study delves into the complex dynamics of social networks and how they affect paddy farmers’ adoption of agricultural technologies, which are included in Yaya Development program, Weedy rice program and Good Agricultural Practices (GAP) program in Matara district. Identify the social networks among the farmers of ongoing Extension Programs in Matara district, examine the farmers’ adoption level to the ongoing extension programs in Matara district, analyze the impacts of social networks for the adoption to the technologies of ongoing extension programs and give suggestions and recommendations to improve the social network of paddy farmers in Matara District for ongoing extension programs are the objectives of this research. A structured questionnaire survey was conducted with 25 farmers from Matara-North (Wilpita), 25 farmers from Matara-Central (Kamburupitiya), and 25 farmers from Matara-South (Malimbada). UCINET (Version -6.771) software was used for social network analysis, and other than that, descriptive statistics and inferential statistics were used to analyze the findings. Matara-North has the highest social network density, and Matara-South has the lowest social network density according to the social network analysis. Dissemination of intensive technologies requires the most prominent actors of the social network, and in Matara district, agricultural instructors have the highest ability to disseminate technologies. The influence of actors in the social network, the trustworthiness of AI officers, and the trust of indigenous knowledge about paddy cultivation have a significant effect on the technology adoption of farmers. The research endeavors to contribute a nuanced understanding of the social networks and agricultural technology adoption in Matara District, offering practical insights for stakeholders involved in agricultural extension services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agricultural%20extension" title="agricultural extension">agricultural extension</a>, <a href="https://publications.waset.org/abstracts/search?q=paddy%20cultivation" title=" paddy cultivation"> paddy cultivation</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20adoption" title=" technology adoption"> technology adoption</a> </p> <a href="https://publications.waset.org/abstracts/176676/impact-of-social-networks-on-agricultural-technology-adoption-a-case-study-of-ongoing-extension-programs-for-paddy-cultivation-in-matara-district-in-sri-lanka" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176676.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">64</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">13558</span> A Type-2 Fuzzy Model for Link Prediction in Social Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mansoureh%20Naderipour">Mansoureh Naderipour</a>, <a href="https://publications.waset.org/abstracts/search?q=Susan%20Bastani"> Susan Bastani</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Fazel%20Zarandi"> Mohammad Fazel Zarandi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Predicting links that may occur in the future and missing links in social networks is an attractive problem in social network analysis. Granular computing can help us to model the relationships between human-based system and social sciences in this field. In this paper, we present a model based on granular computing approach and Type-2 fuzzy logic to predict links regarding nodes’ activity and the relationship between two nodes. Our model is tested on collaboration networks. It is found that the accuracy of prediction is significantly higher than the Type-1 fuzzy and crisp approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20network" title="social network">social network</a>, <a href="https://publications.waset.org/abstracts/search?q=link%20prediction" title=" link prediction"> link prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=granular%20computing" title=" granular computing"> granular computing</a>, <a href="https://publications.waset.org/abstracts/search?q=type-2%20fuzzy%20sets" title=" type-2 fuzzy sets"> type-2 fuzzy sets</a> </p> <a href="https://publications.waset.org/abstracts/49749/a-type-2-fuzzy-model-for-link-prediction-in-social-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49749.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">326</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">13557</span> 'The Network' - Cradle to Cradle Engagement Framework for Women in STEM</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jessica%20Liqin%20Kong">Jessica Liqin Kong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Female engineers and scientists face unique challenges in their careers that make the development of professional networks crucial, but also more difficult. Working to overcome these challenges, ‘The Network’ was established in 2013 at the Queensland University of Technology (QUT) in Australia as an alumni chapter with the purpose of evoking continuous positive change for female participation and retention in science, technology, engineering and mathematics (STEM). ‘The Network’ adopts an innovative model for a Women in STEM alumni chapter which was inspired by the cradle to cradle approach to engagement, and the concept of growing and harvesting individual and collective social capital through a variety of initiatives. ‘The Network’ fosters an environment where the values exchanged in social and professional relationships can be capitalized for both current and future women in STEM. The model of ‘The Network’ acts as a simulation and opportunity for participants to further develop their leadership and other soft skills through learning, building and experimenting with ‘The Network’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=women%20in%20STEM" title="women in STEM">women in STEM</a>, <a href="https://publications.waset.org/abstracts/search?q=engagement" title=" engagement"> engagement</a>, <a href="https://publications.waset.org/abstracts/search?q=Cradle-to-Cradle" title=" Cradle-to-Cradle"> Cradle-to-Cradle</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20capital" title=" social capital"> social capital</a> </p> <a href="https://publications.waset.org/abstracts/19675/the-network-cradle-to-cradle-engagement-framework-for-women-in-stem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19675.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">284</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">13556</span> Rumour Containment Using Monitor Placement and Truth Propagation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amrah%20Maryam">Amrah Maryam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The emergence of online social networks (OSNs) has transformed the way we pursue and share information. On the one hand, OSNs provide great ease for the spreading of positive information while, on the other hand, they may also become a channel for the spreading of malicious rumors and misinformation throughout the social network. Thus, to assure the trustworthiness of OSNs to its users, it is of vital importance to detect the misinformation propagation in the network by placing network monitors. In this paper, we aim to place monitors near the suspected nodes with the intent to limit the diffusion of misinformation in the social network, and then we also detect the most significant nodes in the network for propagating true information in order to minimize the effect of already diffused misinformation. Thus, we initiate two heuristic monitor placement using articulation points and truth propagation using eigenvector centrality. Furthermore, to provide real-time workings of the system, we integrate both the monitor placement and truth propagation entities as well. To signify the effectiveness of the approaches, we have carried out the experiment and evaluation of Stanford datasets of online social networks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20social%20networks" title="online social networks">online social networks</a>, <a href="https://publications.waset.org/abstracts/search?q=monitor%20placement" title=" monitor placement"> monitor placement</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20cascade%20model" title=" independent cascade model"> independent cascade model</a>, <a href="https://publications.waset.org/abstracts/search?q=spread%20of%20misinformation" title=" spread of misinformation"> spread of misinformation</a> </p> <a href="https://publications.waset.org/abstracts/113743/rumour-containment-using-monitor-placement-and-truth-propagation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113743.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">161</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">13555</span> Social Network Analysis as a Research and Pedagogy Tool in Problem-Focused Undergraduate Social Innovation Courses</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sean%20McCarthy">Sean McCarthy</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrice%20M.%20Ludwig"> Patrice M. Ludwig</a>, <a href="https://publications.waset.org/abstracts/search?q=Will%20Watson"> Will Watson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This exploratory case study explores the deployment of Social Network Analysis (SNA) in mapping community assets in an interdisciplinary, undergraduate, team-taught course focused on income insecure populations in a rural area in the US. Specifically, it analyzes how students were taught to collect data on community assets and to visualize the connections between those assets using Kumu, an SNA data visualization tool. Further, the case study shows how social network data was also collected about student teams via their written communications in Slack, an enterprise messaging tool, which enabled instructors to manage and guide student research activity throughout the semester. The discussion presents how SNA methods can simultaneously inform both community-based research and social innovation pedagogy through the use of data visualization and collaboration-focused communication technologies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20innovation" title="social innovation">social innovation</a>, <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=pedagogy" title=" pedagogy"> pedagogy</a>, <a href="https://publications.waset.org/abstracts/search?q=problem-based%20learning" title=" problem-based learning"> problem-based learning</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20visualization" title=" data visualization"> data visualization</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20communication%20technologies" title=" information communication technologies"> information communication technologies</a> </p> <a href="https://publications.waset.org/abstracts/105750/social-network-analysis-as-a-research-and-pedagogy-tool-in-problem-focused-undergraduate-social-innovation-courses" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105750.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">147</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">13554</span> Social Media, Networks and Related Technology: Business and Governance Perspectives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20T.%20AlSudairi">M. A. T. AlSudairi</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20G.%20K.%20Vasista"> T. G. K. Vasista</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concept of social media is becoming the top of the agenda for many business executives and public sector executives today. Decision makers as well as consultants, try to identify ways in which firms and enterprises can make profitable use of social media and network related applications such as Wikipedia, Face book, YouTube, Google+, Twitter. While it is fun and useful to participating in this media and network for achieving the communication effectively and efficiently, semantic and sentiment analysis and interpretation becomes a crucial issue. So, the objective of this paper is to provide literature review on social media, network and related technology related to semantics and sentiment or opinion analysis covering business and governance perspectives. In this regard, a case study on the use and adoption of Social media in Saudi Arabia has been discussed. It is concluded that semantic web technology play a significant role in analyzing the social networks and social media content for extracting the interpretational knowledge towards strategic decision support. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CRASP%20methodology" title="CRASP methodology">CRASP methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=formative%20assessment" title=" formative assessment"> formative assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=literature%20review" title=" literature review"> literature review</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20web%20services" title=" semantic web services"> semantic web services</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networks" title=" social networks"> social networks</a> </p> <a href="https://publications.waset.org/abstracts/22103/social-media-networks-and-related-technology-business-and-governance-perspectives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22103.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">451</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">13553</span> The Coauthorship Network Analysis of the Norwegian School of Economics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Belik">Ivan Belik</a>, <a href="https://publications.waset.org/abstracts/search?q=Kurt%20Jornsten"> Kurt Jornsten</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We construct the coauthorship network based on the scientific collaboration between the faculty members at the Norwegian School of Economics (NHH) and based on their international academic publication experience. The network structure is based on the NHH faculties’ publications recognized by the ISI Web of Science for the period 1950 – Spring, 2014. The given network covers the publication activities of the NHH faculty members (over six departments) based on the information retrieved from the ISI Web of Science in Spring, 2014. In this paper we analyse the constructed coauthorship network in different aspects of the theory of social networks analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coauthorship%20networks" title="coauthorship networks">coauthorship networks</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networks%20analysis" title=" social networks analysis"> social networks analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Norwegian%20School%20of%20Economics" title=" Norwegian School of Economics"> Norwegian School of Economics</a>, <a href="https://publications.waset.org/abstracts/search?q=ISI" title=" ISI"> ISI</a> </p> <a href="https://publications.waset.org/abstracts/15216/the-coauthorship-network-analysis-of-the-norwegian-school-of-economics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15216.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">432</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">13552</span> Twitter Ego Networks and the Capital Markets: A Social Network Analysis Perspective of Market Reactions to Earnings Announcement Events</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gregory%20D.%20Saxton">Gregory D. Saxton</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Networks are everywhere: lunch ties among co-workers, golfing partnerships among employees, interlocking board-of-director connections, Facebook friendship ties, etc. Each network varies in terms of its structure -its size, how inter-connected network members are, and the prevalence of sub-groups and cliques. At the same time, within any given network, some network members will have a more important, more central position on account of their greater number of connections or their capacity as “bridges” connecting members of different network cliques. The logic of network structure and position is at the heart of what is known as social network analysis, and this paper applies this logic to the study of the stock market. Using an array of data analytics and machine learning tools, this study will examine 17 million Twitter messages discussing the stocks of the firms in the S&P 1,500 index in 2018. Each of these 1,500 stocks has a distinct Twitter discussion network that varies in terms of core network characteristics such as size, density, influence, norms and values, level of activity, and embedded resources. The study’s core proposition is that the ultimate effect of any market-relevant information is contingent on the characteristics of the network through which it flows. To test this proposition, this study operationalizes each of the core network characteristics and examines their influence on market reactions to 2018 quarterly earnings announcement events. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20analytics" title="data analytics">data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=investor-to-investor%20communication" title=" investor-to-investor communication"> investor-to-investor communication</a>, <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=Twitter" title=" Twitter"> Twitter</a> </p> <a href="https://publications.waset.org/abstracts/152263/twitter-ego-networks-and-the-capital-markets-a-social-network-analysis-perspective-of-market-reactions-to-earnings-announcement-events" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152263.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">121</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">13551</span> Design and Implementation of Reliable Location-Based Social Community Services</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20J.%20Kim">B. J. Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20W.%20Nam"> K. W. Nam</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20J.%20Lee"> S. J. Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traditional social network services provide users with more information than is needed, and it is not easy to verify the authenticity of the information. This paper proposes a system that can only post messages where users are located to enhance the reliability of social networking services. The proposed system implements a Google Map API to post postings on the map and to read postings within a range of distances from the users’ location. The proposed system will only provide alerts, memories, and information about locations within a given range depending on the users' current location, providing reliable information that they believe will be necessary in real time. It is expected that the proposed system will be able to meet the real demands of users and create a more reliable social network services environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20network" title="social network">social network</a>, <a href="https://publications.waset.org/abstracts/search?q=location" title=" location"> location</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability" title=" reliability"> reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=posting" title=" posting"> posting</a> </p> <a href="https://publications.waset.org/abstracts/94442/design-and-implementation-of-reliable-location-based-social-community-services" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94442.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">257</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">13550</span> Study on Energy Performance Comparison of Information Centric Network Based on Difference of Network Architecture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Takumi%20Shindo">Takumi Shindo</a>, <a href="https://publications.waset.org/abstracts/search?q=Koji%20Okamura"> Koji Okamura</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The first generation of the wide area network was circuit centric network. How the optimal circuit can be signed was the most important issue to get the best performance. This architecture had succeeded for line based telephone system. The second generation was host centric network and Internet based on this architecture has very succeeded world widely. And Internet became as new social infrastructure. Currently the architecture of the network is based on the location of the information. This future network is called Information centric network (ICN). The information-centric network (ICN) has being researched by many projects and different architectures for implementation of ICN have been proposed. The goal of this study is to compare performances of those ICN architectures. In this paper, the authors propose general ICN model which can represent two typical ICN architectures and compare communication performances using request routing. Finally, simulation results are shown. Also, we assume that this network architecture should be adapt to energy on-demand routing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ICN" title="ICN">ICN</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20centric%20network" title=" information centric network"> information centric network</a>, <a href="https://publications.waset.org/abstracts/search?q=CCN" title=" CCN"> CCN</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a> </p> <a href="https://publications.waset.org/abstracts/68439/study-on-energy-performance-comparison-of-information-centric-network-based-on-difference-of-network-architecture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68439.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">337</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">13549</span> Understanding Health Behavior Using Social Network Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Namrata%20Mishra">Namrata Mishra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Health of a person plays a vital role in the collective health of his community and hence the well-being of the society as a whole. But, in today’s fast paced technology driven world, health issues are increasingly being associated with human behaviors – their lifestyle. Social networks have tremendous impact on the health behavior of individuals. Many researchers have used social network analysis to understand human behavior that implicates their social and economic environments. It would be interesting to use a similar analysis to understand human behaviors that have health implications. This paper focuses on concepts of those behavioural analyses that have health implications using social networks analysis and provides possible algorithmic approaches. The results of these approaches can be used by the governing authorities for rolling out health plans, benefits and take preventive measures, while the pharmaceutical companies can target specific markets, helping health insurance companies to better model their insurance plans. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breadth%20first%20search" title="breadth first search">breadth first search</a>, <a href="https://publications.waset.org/abstracts/search?q=directed%20graph" title=" directed graph"> directed graph</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20behaviors" title=" health behaviors"> health behaviors</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/25309/understanding-health-behavior-using-social-network-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25309.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">471</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">13548</span> Novel Recommender Systems Using Hybrid CF and Social Network Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyoung-Jae%20Kim">Kyoung-Jae Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Collaborative Filtering (CF) is a popular technique for the personalization in the E-commerce domain to reduce information overload. In general, CF provides recommending items list based on other similar users’ preferences from the user-item matrix and predicts the focal user’s preference for particular items by using them. Many recommender systems in real-world use CF techniques because it’s excellent accuracy and robustness. However, it has some limitations including sparsity problems and complex dimensionality in a user-item matrix. In addition, traditional CF does not consider the emotional interaction between users. In this study, we propose recommender systems using social network and singular value decomposition (SVD) to alleviate some limitations. The purpose of this study is to reduce the dimensionality of data set using SVD and to improve the performance of CF by using emotional information from social network data of the focal user. In this study, we test the usability of hybrid CF, SVD and social network information model using the real-world data. The experimental results show that the proposed model outperforms conventional CF models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title="recommender systems">recommender systems</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20filtering" title=" collaborative filtering"> collaborative filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network%20information" title=" social network information"> social network information</a>, <a href="https://publications.waset.org/abstracts/search?q=singular%20value%20decomposition" title=" singular value decomposition"> singular value decomposition</a> </p> <a href="https://publications.waset.org/abstracts/36626/novel-recommender-systems-using-hybrid-cf-and-social-network-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36626.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> <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=social%20network&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=social%20network&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=social%20network&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=social%20network&page=5">5</a></li> <li class="page-item"><a class="page-link" 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