000 02203nmm a22002415i 4500
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008 130107s2013 gw | s |||| 0|eng d
020 _a9783642318214
_9978-3-642-31821-4
082 _a006.312
_223
100 _aShen, Hua-Wei.
_919814
245 _aCommunity Structure of Complex Networks
_h[electronic resource] /
_cby Hua-Wei Shen.
250 _a1st ed. 2013.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIV, 117 p.
_bonline resource.
505 _aCommunity structure: An Introduction -- Detecting the overlapping and hierarchical community structure in networks -- Multiscale community detection in networks with heterogeneous degree distributions -- Community structure and diffusion dynamics on networks -- Exploratory Analysis of the structural regularities in networks.
520 _aCommunity 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.
650 _aData mining.
_919815
650 _aStatistics .
_919816
650 _aData Mining and Knowledge Discovery.
_919817
650 _aStatistics.
_919816
856 _uhttps://doi.org/10.1007/978-3-642-31821-4
942 _cEBK
999 _c13573
_d13573