Titlebook: Social Networking; Mining, Visualizatio Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang Book 2014 Springer International Publishing Swit

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Nisha Chaurasia,Akhilesh Tiwarin phase to the established body of innovation research. Conceptional articles complement case studies to provide the reader with insight on managing the fuzzy front end of innovation. Lessons learned with success factors and checklists complement each chapter.​.978-3-319-34741-7978-3-319-01056-4

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Privacy and Anonymization in Social Networks,existing studies deal with relational data only. Those methods cannot be applied to social network data straightforwardly. Anonymization of social network data is a much more challenging task than anonymizing relational data. Firstly, in relational databases, attacks come from identifying individual

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Book 2014he rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various

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Structure and Evolution of Online Social Networks,ties, such as those based on preferential attachment, heterogeneity of nodes, and triadic closure. We survey some of these studies in this chapter. We also describe in detail a preferential attachment based model to analyze the evolution of OSNs in the presence of restrictions on node-degree that are presently being imposed in all popular OSNs.