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Computer Science - Database Management & Information Retrieval | Community Structure of Complex Networks

Community Structure of Complex Networks

Series: Springer Theses

Shen, Hua-Wei

2013, XIV, 120 p. 48 illus., 17 illus. in color.

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  • Nominated by Chinese Academy of Sciences as an outstanding PhD thesis
  • A comprehensive introduction to community detection in networks
  • Includes the state-of-the-art development of community detection
  • Provides a useful complementary to complex network
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.

Content Level » Research

Keywords » Community structure - Complex Networks - Modularity - Multi-scale - Network Dynamics

Related subjects » Database Management & Information Retrieval - Statistics

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