© 2014

Social Network Analysis - Community Detection and Evolution

  • Rokia Missaoui
  • Idrissa Sarr


  • Describes novel results in community detection and/or evolution

  • Clearly written and generously illustrated

  • Covers hot topics in social network such as community evolution, information propagation and influence maximization


Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Yulia Tyshchuk, Hao Li, Heng Ji, William A. Wallace
    Pages 1-25
  3. Benjamin Renoust, Guy Melançon, Marie-Luce Viaud
    Pages 89-117
  4. Romain Campigotto, Jean-Loup Guillaume
    Pages 145-164
  5. Xi Wang, Gita Sukthankar
    Pages 165-192
  6. Peng Xia, Kun Tu, Bruno Ribeiro, Hua Jiang, Xiaodong Wang, Cindy Chen et al.
    Pages 193-217
  7. Chenyi Zhang, Jianling Sun, Ke Wang
    Pages 219-241
  8. Mahsa Maghami, Gita Sukthankar
    Pages 243-267
  9. Back Matter
    Pages 269-272

About this book


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

Editors and affiliations

  • Rokia Missaoui
    • 1
  • Idrissa Sarr
    • 2
  1. 1.Département d'Informatique et IngénirieUniversité du Québec en OutaouaisGatineauCanada
  2. 2.Département de Mathématiques et InformatiqueUniversité Cheikh Anta DiopDakarSenegal

Bibliographic information

Industry Sectors
IT & Software
Consumer Packaged Goods
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences


“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)