Community Structure of Complex Networks (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Theses
Release date:	June 2015
First published:	2013
Authors:	Hua-Wei Shen
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Paperback
Pages:	117
Edition:	2013 ed.
ISBN-13:	978-3-642-43481-5
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-642-43481-9
Barcode:	9783642434815

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