State of the Art Applications of Social Network Analysis

Fazli Can

ISBN 10: 3319059114 / ISBN 13: 9783319059112

Published by Springer International Publishing, Springer Mai 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 384 pp. Englisch.

Seller Inventory # 9783319059112

Bibliographic Details

• Title: State of the Art Applications of Social Network Analysis
• Publisher: Springer International Publishing, Springer Mai 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319059114
• ISBN 13: 9783319059112
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 27D millimeters 241 millimeters width by 160 millimeters height by 27 millimeters depth
• Weight: 736 grams

About this title

Synopsis

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.