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.
General
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