Community Structure of Complex Networks

  • Hua-Wei Shen

Part of the Springer Theses book series (Springer Theses)

About this book

Introduction

Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major challenges for conventional methods of community detection. This book will comprehensively introduce the latest advances in community detection, especially the detection of overlapping and hierarchical community structures, the detection of multi-scale communities in heterogeneous networks, and the exploration of multiple types of structural regularities. These advances have been successfully applied to analyze large-scale online social networks, such as Facebook and Twitter. This book provides readers a convenient way to grasp the cutting edge of community detection in complex networks.
The thesis on which this book is based was honored with the “Top 100 Excellent Doctoral Dissertations Award” from the Chinese Academy of Sciences and was nominated as the “Outstanding Doctoral Dissertation” by the Chinese Computer Federation.

Keywords

Community structure Complex Networks Modularity Multi-scale Network Dynamics

Authors and affiliations

  • Hua-Wei Shen
    • 1
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina, People's Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31821-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-31820-7
  • Online ISBN 978-3-642-31821-4
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • About this book