ENGLISH

State of the Art Applications of Social Network Analysis

By Tansel Özyer , Fazli Can , Faruk Polat (eds.)

Book information

Publisher
Springer International Publishing
Year
2014
ISBN
978-3-319-05911-2, 978-3-319-05912-9
DOI
10.1007/978-3-319-05912-9
Language
english
Format
PDF
Filesize
12 MB (12608592 bytes)
Series
Lecture Notes in Social Networks
Edition
1
Pages
372\375
Time added
2014-06-12 06:00:00
Data Mining and Knowledge Discovery; Computational

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.

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