State of the Art Applications of Social Network Analysis (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	May 2014
First published:	2014
Editors:	Fazli Can • Tansel Oezyer • Faruk Polat
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover
Pages:	372
Edition:	2014 ed.
ISBN-13:	978-3-319-05911-2
Categories:	Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-05911-4
Barcode:	9783319059112

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