From Sociology to Computing in Social Networks

Important aspects of social networking analysis and are covered in this work by soliciting experimental as well as theoretical research. A specific focus is devoted to emerging trends and industry needs associated with utilizing data mining techniques. Some of the techniques covered include (1) data mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions) and on the associated security and privacy-preservation challenges; (2) social network modeling, scalable, customizable social network infrastructure construction , dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation. Of interest to practitioners and researchers alike in this dynamic and growing field.