Social Network Analysis - Community Detection and Evolution

• Corporate Author: SpringerLink (Online service)
• Other Authors: Missaoui, Rokia (Editor), Sarr, Idrissa (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Lecture Notes in Social Networks,
• Subjects: Computer science.; Data mining.; Mathematics.; Social sciences.; Physics.; Computer Science.; Data Mining and Knowledge Discovery.; Methodology of the Social Sciences.; Mathematics in the Humanities and Social Sciences.; Complex Networks.
• Physical Description: XVIII, 272 p. 108 illus., 102 illus. in color. online resource.
• ISBN: 9783319121888
• ISSN: 2190-5428

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.