Community Structure of Complex Networks [electronic resource] / by Hua-Wei Shen.
Material type: Computer filePublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.Edition: 1st ed. 2013Description: XIV, 117 p. online resourceISBN:- 9783642318214
- 006.312Â 23
Item type | Home library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | 006.312 (Browse shelf(Opens below)) | Available | EB1328 |
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006.31 N329I An Introduction to Support Vector Machines and Other Kernel - Based Learning Methods | 006.31 Sh28K Kernel Methods for Pattern Analysis | 006.31 Sh93U Understanding Machine Learning : From Theory to Algorithms | 006.312 Community Structure of Complex Networks | 006.312 At82D Data Mining for the Social Sciences : An Introduction | 006.312 K28D Data Science | 006.312 K849D Data Science : Concepts and Practice |
Community 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.
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.
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