Springer Theses

Community Structure of Complex Networks

Authors: Shen, Hua-Wei

  • 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
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Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-31821-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-31820-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-642-43481-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

Hua-Wei Shen is currently an associate professor at the Institute of Computing Technology, Chinese Academy of Sciences, where he leads a research group on network analysis and social computing. His main research interests include network science, recommender system, and social network analysis. He received his PhD from the Graduate University of the Chinese Academy of Sciences in 2010. His doctoral thesis was honored with the “Top 100 Excellent Doctoral Dissertations Award” by the Chinese Academy of Sciences and was nominated as the “Outstanding Doctoral Dissertation” by the Chinese Computer Federation. He has published more than 40 papers in prestigious journals and top international conferences, including PLoS ONE, Physical Review E, Journal of Statistical Mechanics, WWW, CIKM, WSDM, and IJCAI.

Reviews

From the book reviews:

“The topic of this book is the analysis of community structures. … this book provides a unique viewpoint on network analysis. It is a good handbook for engineers specializing in modern network analysis.” (Hsun-Hsien Chang, Computing Reviews, June, 2014)


Table of contents (5 chapters)

  • Community Structure: An Introduction

    Shen, Hua-Wei

    Pages 1-17

  • Detecting the Overlapping and Hierarchical Community Structure in Networks

    Shen, Hua-Wei

    Pages 19-44

  • Multiscale Community Detection in Networks with Heterogeneous Degree Distributions

    Shen, Hua-Wei

    Pages 45-71

  • Community Structure and Diffusion Dynamics on Networks

    Shen, Hua-Wei

    Pages 73-92

  • Exploratory Analysis of the Structural Regularities in Networks

    Shen, Hua-Wei

    Pages 93-117

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-31821-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-31820-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-642-43481-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Community Structure of Complex Networks
Authors
Series Title
Springer Theses
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-31821-4
DOI
10.1007/978-3-642-31821-4
Hardcover ISBN
978-3-642-31820-7
Softcover ISBN
978-3-642-43481-5
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XIV, 117
Topics