State of the Art Applications of Social Network Analysis

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Éditeur :

Springer


Collection :

Lecture Notes in Social Networks

Paru le : 2014-05-14

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Description

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.
Pages
372 pages
Collection
Lecture Notes in Social Networks
Parution
2014-05-14
Marque
Springer
EAN papier
9783319059112
EAN EPUB
9783319059129

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
6584 Ko
Prix
52,74 €