The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public.

Title is also available as part of a set: Encyclopedia of Social Network Analysis and Mining (978-1-4939-7132-9)

Applied Computational Geometry for Social Networks.- Basics of Social Network Model Construction and Evolution.- Crowdsourcing, Opinion Mining, Fusion and Influence Analysis.- Current and Future Research Directions.- Data Collection, Data Extraction, and Data Preparation for Social Networks Analysis and Mining.- Data Management for Social Networks and Social Media.- Data Mining and Machine Learning Techniques for Social Networks.- Graph Theory for Social Networks (Sociograms).- History of Social Networks: Past, Present and Future.- Internet, Web 2.0, Web Services and Semantic Web.- Linear Algebra and Statistics for Social Networks.- Online Social Networks, Social Networking Sites and Social Media.- Privacy and Security Issues in Social Networks.- Sentiment Analysis and Recommender Systems.- Social Communities.- Social Network Analysis.- Social Network Applications in Business, Organizations, Industry and Case studies.- Social Network Applications in Homeland Security, Terrorism, Fraud Detection, Public Sector, Politics and Case studies.- Social Network Applications in Scientific, Engineering, Medical Domain and Case studies.- Social Network Construction, Visualization and Analysis Tools.- Spatio-Temporal Aspects in Social Networks and Social Media.- Static Versus Dynamic Networks.- Technology for Online Social Networking and Human Computer Interaction.