Community Structure: An Introduction

  • Hua-Wei Shen
Part of the Springer Theses book series (Springer Theses)

Abstract

As a salient and important structural characteristic of real world networks, community structure is increasingly attracting much research attention from various fields. In this chapter, we will briefly introduce the research progress about the detection of community structure in networks. These include community definition, community detection methods, community evolution, measurements for evaluation, and test datasets used in this monograph. We also describe the unresolved problems which deserves much more efforts in the future. This chapter can serve as a brief survey for beginners to the study of community structure in networks.

Keywords

Maximal Clique Community Detection Real World Network Link Density Local Definition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hua-Wei Shen
    • 1
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina

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