Overview
- Describes novel results in community detection and/or evolution
- Clearly written and generously illustrated
- Covers hot topics in social network such as community evolution, information propagation and influence maximization
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Reviews
“This volume presents interesting approaches in relation to communities interacting via social networks … . The volume may be of interest to specialists mining social network data and to some advanced students wishing to further their research. Each chapter has its own references, and the collective work has a common glossary and index.” (L.-F. Pau, Computing Reviews, March, 2016)
Editors and Affiliations
Bibliographic Information
Book Title: Social Network Analysis - Community Detection and Evolution
Editors: Rokia Missaoui, Idrissa Sarr
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-319-12188-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-12187-1Published: 26 January 2015
Softcover ISBN: 978-3-319-38474-0Published: 06 October 2016
eBook ISBN: 978-3-319-12188-8Published: 13 January 2015
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XVIII, 272
Number of Illustrations: 6 b/w illustrations, 102 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Methodology of the Social Sciences, Mathematics in the Humanities and Social Sciences, Applications of Graph Theory and Complex Networks