State of the Art Applications of Social Network Analysis

Date

2014-01-01

Author

Can, Fazli
Polat, Faruk
Ozyer, Tansel

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

URI

https://hdl.handle.net/11511/70519
https://www.springer.com/gp/book/9783319059112

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Department of Computer Engineering, Book / Book chapter

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Citation Formats

F. Can, F. Polat, and T. Ozyer, State of the Art Applications of Social Network Analysis. 2014.