Social Network Analysis - Community Detection and Evolution

✍ Scribed by Rokia Missaoui, Idrissa Sarr (eds.)

• Publisher: Springer International Publishing
• Year: 2014
• Tongue: English
• Leaves: 282
• Series: Lecture Notes in Social Networks
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xviii
The Emergence of Communities and Their Leaders on Twitter Following an Extreme Event....Pages 1-25
Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches....Pages 27-43
Overlaying Social Networks of Different Perspectives for Inter-network Community Evolution....Pages 45-70
Study of Influential Trends, Communities, and Websites on the Post-election Events of Iranian Presidential Election in Twitter....Pages 71-87
Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks....Pages 89-117
An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic Richness....Pages 119-143
The Power of Consensus: Random Graphs Still Have No Communities....Pages 145-164
Link Prediction in Heterogeneous Collaboration Networks....Pages 165-192
Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site....Pages 193-217
Latent Tunnel Based Information Propagation in Microblog Networks....Pages 219-241
Scaling Influence Maximization with Network Abstractions....Pages 243-267
Back Matter....Pages 269-272

✦ Subjects

Data Mining and Knowledge Discovery; Methodology of the Social Sciences; Mathematics in the Humanities and Social Sciences; Complex Networks