Community Structure of Complex Networks (Record no. 58007)

000 -LEADER
fixed length control field 02999nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-3-642-31821-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112231.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130107s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642318214
-- 978-3-642-31821-4
082 04 - CLASSIFICATION NUMBER
Call Number 006.312
100 1# - AUTHOR NAME
Author Shen, Hua-Wei.
245 10 - TITLE STATEMENT
Title Community Structure of Complex Networks
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 117 p.
490 1# - SERIES STATEMENT
Series statement Springer Theses, Recognizing Outstanding Ph.D. Research,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-31821-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics, general.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2190-5053
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-- ZDB-2-SCS

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