Social network analysis-- community detection and evolution / Rokia Missaoui, Idrissa Sarr, editors.
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 heterogene...
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| Other Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2014.
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| Series: | Lecture notes in social networks
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource (xviii, 272 pages) : illustrations (some colour). |
| Bibliography: | Includes bibliographical references and index. |
| ISSN: | 2190-5428 |