目次

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.