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These platforms offer unprecedented opportunities for individuals to connect, communicate, and share their perspectives on a vast array of topics. The dynamic and ever-evolving nature of social networks, coupled with the massive scale of user participation, poses significant challenges for researchers, particularly in data mining and machine learning. The International Conference on Social Networks Analysis, Management and Security (SNAMS-2024) aims to provide a comprehensive forum for researchers, practitioners, and industry experts to present and discuss their latest findings and innovations in the realm of social network analysis. This conference seeks to explore the vast opportunities in social networks, addressing both theoretical and practical challenges. SNAMS-2024 is dedicated to fostering an environment where students, scientists, engineers, and researchers can exchange ideas, present novel research contributions, and share experiences across all facets of social networks. We invite original research contributions in a wide range of topics, including but not limited to: Data mining and machine learning techniques for social networks Social network dynamics and evolution Security, privacy, and trust in social networks Analysis of social media content and trends Impact of social networks on society and human behavior Network visualization and big data analytics Applications of social network analysis in various domains (e.g., marketing, healthcare, education) Algorithms and models for social network analysis Sentiment analysis and opinion mining in social media Influence and information propagation in social networks Industrial applications of social network analysis Big data technologies for social network analysis Cloud and edge analytics for social networks Semantic analysis and knowledge graphs in social networks Business intelligence and decision-making based on social network data Ethical issues and governance in social network analysis Real-time and streaming analytics for social networks Case studies and best practices in social network management Integration of social network analysis with IoT and smart environments Fakenews detection Bots and social media Artificial Intelligence and Machine Learning for Social Networks Analyis also topics include the following SYSTEMS & INFRASTRUCTURE Systems and algorithms for social search Infrastructure support for social networks and systems Dynamics and evolution patterns of large and complex networks Social properties in systems design Learnings from operational social networks Data Collection Big Data and Social Paradigms ALGORITHMS AND MODELS Deep Learning and Knowledge Discovery. Measurement and analysis of social and crowdsourcing systems Benchmarking, modeling, performance and workload characterization Modeling Social Networks and behavior Management of social network data Streaming algorithms for social data Knowledge and innovation networks Methods for social and media analysis Models for network data Network analysis in human and social sciences Information propagation and assimilation in social networks Data mining and machine learning in social systems APPLICATIONS Novel social applications and systems Transient OSNs (e.g. Snapchat) Special purpose OSNs (e.g., Instagram, Vine) Communities in social networks Collaboration networks New models of advertising and monetization in social networks Mobile advertising on OSNs Network visualization Social networks and online education Sentiment analysis on OSNs Multilingual social networks Social networks as agents of societal change PRIVACY & SECURITY Privacy and security in social systems Trust and reputations in social systems Detection, analysis, prevention of spam, phishing, and misbehavior in social systems</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-07-31</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">CCF</th><th id="yw3_c1">CORE</th><th id="yw3_c2">QUALIS</th><th id="yw3_c3">Short</th><th id="yw3_c4">Full Name</th><th id="yw3_c5">Submission</th><th id="yw3_c6">Notification</th><th id="yw3_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><span class="badge badge-warning">c</span></td><td></td><td>CRV</td><td><a href="/conference/523">Canadian Conference on Computer and Robot 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