Social Network Analysis - Community Detection and Evolution

Nonfiction, Social & Cultural Studies, Social Science, Methodology, Computers, Database Management, General Computing
Cover of the book Social Network Analysis - Community Detection and Evolution by , Springer International Publishing
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Author: ISBN: 9783319121888
Publisher: Springer International Publishing Publication: January 13, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319121888
Publisher: Springer International Publishing
Publication: January 13, 2015
Imprint: Springer
Language: English

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

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