State of the art applications of social network analysis [electronic resource]
- 其他作者：
- 其他題名：
- Lecture notes in social networks,
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Lecture notes in social networks,
- 主題： Online social networks. , Data mining , Computer science , Data Mining and Knowledge Discovery. , Computational intelligence , Complex Networks.
- ISBN： 9783319059129 (electronic bk.) 、 9783319059112 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
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讀者標籤：
- 系統號： 005119968 | 機讀編目格式
館藏資訊
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.