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Highlights recent trends and discoveries in social network analysis
Showcases research from a multi-disciplinary panel of researchers
Provides a broad scope of current perspectives on network analysis
Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.
Content Level »Research
Keywords »Agent-based Analysis - Big Data and Social Network Analysis - Blog Analysis - Community Detection - Complex Networks in Political Research - Crowd Mobility Studies - Social Networks and Graph Theory - Swarm Theory Analysis