Social Network Analysis - Community Detection and Evolution

1. Front Matter

   Pages i-xviii

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2. The Emergence of Communities and Their Leaders on Twitter Following an Extreme Event

   • Yulia Tyshchuk, Hao Li, Heng Ji, William A. Wallace

   Pages 1-25

3. Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches

   • Benjamin H. Sims, Nikolai Sinitsyn, Stephan J. Eidenbenz

   Pages 27-43

4. Overlaying Social Networks of Different Perspectives for Inter-network Community Evolution

   • Idrissa Sarr, Joseph Ndong, Rokia Missaoui

   Pages 45-70

5. Study of Influential Trends, Communities, and Websites on the Post-election Events of Iranian Presidential Election in Twitter

   • Seyed Amin Tabatabaei, Masoud Asadpour

   Pages 71-87

6. Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks

   • Benjamin Renoust, Guy Melançon, Marie-Luce Viaud

   Pages 89-117

7. An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic Richness

   • Billel Hamadache, Hassina Seridi-Bouchelaghem, Nadir Farah

   Pages 119-143

8. The Power of Consensus: Random Graphs Still Have No Communities

   • Romain Campigotto, Jean-Loup Guillaume

   Pages 145-164

9. Link Prediction in Heterogeneous Collaboration Networks

   • Xi Wang, Gita Sukthankar

   Pages 165-192

10. Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site

    • Peng Xia, Kun Tu, Bruno Ribeiro, Hua Jiang, Xiaodong Wang, Cindy Chen et al.

    Pages 193-217

11. Latent Tunnel Based Information Propagation in Microblog Networks

    • Chenyi Zhang, Jianling Sun, Ke Wang

    Pages 219-241

12. Scaling Influence Maximization with Network Abstractions

    • Mahsa Maghami, Gita Sukthankar

    Pages 243-267

13. Back Matter

    Pages 269-272

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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.

• Identification of Cohesive Groups
• Influence Detection and Maximization
• Information Propagation
• Key Players in Networks
• Network Modelling
• Social Network Analysis
• Structure and Dynamics of Communities
• User Behavior Analysis

“This volume presents interesting approaches in relation to communities interacting via social networks … . The volume may be of interest to specialists mining social network data and to some advanced students wishing to further their research. Each chapter has its own references, and the collective work has a common glossary and index.” (L.-F. Pau, Computing Reviews, March, 2016)

• Département d'Informatique et Ingénirie, Université du Québec en Outaouais, Gatineau, Canada

  Rokia Missaoui

• Département de Mathématiques et Informatique, Université Cheikh Anta Diop, Dakar, Senegal

  Idrissa Sarr

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