Social Network Analysis - Community Detection and Evolution

by Rokia Missaoui (Editor), Idrissa Sarr (Editor)

Overview

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.

Product Details

ISBN-13:	9783319121871
Publisher:	Springer International Publishing
Publication date:	01/14/2015
Series:	Lecture Notes in Social Networks
Edition description:	2014
Pages:	272
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

The Emergence of Communities and their Leaders on Twitter Following an Extreme Event.- Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches.- Networks of Different Perspectives for Inter-network Community Evolution.- Study of Influential Trends, Communities, and Websites on the Post-Election Events of Iranian Presidential Election in Twitter.- Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks.- An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic.- The Power of Consensus: Random Graphs Still Have No Communities.- Link Prediction in Heterogeneous Collaboration.- Characterization of User Online Dating Behavior and Preference on a Large Online Dating.- Latent Tunnel Based Information Propagation in Microblog Networks.- Maximization with Network Abstractions.

Editorial Reviews

This volume presents interesting approaches in relation to communities interacting via social networks … . The volume may be of interest to specialists mining social network data and to some advanced students wishing to further their research. Each chapter has its own references, and the collective work has a common glossary and index.” (L.-F. Pau, Computing Reviews, March, 2016)

From the Publisher