MARC details
000 -LEADER |
fixed length control field |
02203nmm a22002415i 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230705150626.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
130107s2013 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642318214 |
-- |
978-3-642-31821-4 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.312 |
Edition number |
23 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Shen, Hua-Wei. |
9 (RLIN) |
19814 |
245 ## - TITLE STATEMENT |
Title |
Community Structure of Complex Networks |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
by Hua-Wei Shen. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2013. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Berlin, Heidelberg : |
Name of publisher, distributor, etc. |
Springer Berlin Heidelberg : |
-- |
Imprint: Springer, |
Date of publication, distribution, etc. |
2013. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XIV, 117 p. |
Other physical details |
online resource. |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Data mining. |
9 (RLIN) |
19815 |
|
Topical term or geographic name entry element |
StatisticsĀ . |
9 (RLIN) |
19816 |
|
Topical term or geographic name entry element |
Data Mining and Knowledge Discovery. |
9 (RLIN) |
19817 |
|
Topical term or geographic name entry element |
Statistics. |
9 (RLIN) |
19816 |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-642-31821-4">https://doi.org/10.1007/978-3-642-31821-4</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
e-Book |