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Social Network Analysis - Community Detection and Evolution

Language EnglishEnglish
Book Hardback
Book Social Network Analysis - Community Detection and Evolution Rokia Missaoui
Libristo code: 06841798
Publishers Springer International Publishing AG, January 2015
This book is devoted to recent progress in social network analysis with a high focus on community de... Full description
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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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About the book

Full name Social Network Analysis - Community Detection and Evolution
Author Rokia Missaoui, Idrissa Sarr
Language English
Binding Book - Hardback
Date of issue 2015
Number of pages 272
EAN 9783319121871
ISBN 3319121871
Libristo code 06841798
Publishers Springer International Publishing AG
Weight 6149
Dimensions 155 x 235 x 15

Categories

Society & Social Sciences > Sociology & anthropology > Sociology > Social theory
Society & Social Sciences > Sociology & anthropology > Sociology > Social research & statistics
Mathematics & Science > Mathematics > Calculus & mathematical analysis > Complex analysis, complex variables
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Society & Social Sciences > Society & culture: general > Social groups
Mathematics & Science > Science: general issues > Maths for scientists
Mathematics & Science > Physics > Mathematical physics
Computing & Information Technology > Databases > Data mining
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