Social Network Analysis - Community Detection and Evolution

  • Rokia Missaoui
  • Idrissa Sarr

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

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-12187-1
  • Online ISBN 978-3-319-12188-8
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site