Social Network Analysis - Community Detection and Evolution

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Missaoui, Rokia (Editor ), Sarr, Idrissa (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Lecture Notes in Social Networks,
Temas:
Data mining.
Sociology-Methodology.
Mathematics.
Social sciences.
Graph theory.
Data Mining and Knowledge Discovery.
Sociological Methods.
Mathematics in the Humanities and Social Sciences.
Graph Theory.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVIII, 272 p. 108 illus., 102 illus. in color. online resource.
ISBN:9783319121888
ISSN:2190-5436

Ejemplares similares