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Dynamic Social Network Mining: Issues and Prospects

Dynamic Social Network Mining: Issues and Prospects

Luca Cagliero, Alessandro Fiori
Copyright: © 2013 |Pages: 23
ISBN13: 9781466642133|ISBN10: 1466642130|EISBN13: 9781466642140
DOI: 10.4018/978-1-4666-4213-3.ch007
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MLA

Cagliero, Luca, and Alessandro Fiori. "Dynamic Social Network Mining: Issues and Prospects." Data Mining in Dynamic Social Networks and Fuzzy Systems, edited by Vishal Bhatnagar, IGI Global, 2013, pp. 122-144. https://doi.org/10.4018/978-1-4666-4213-3.ch007

APA

Cagliero, L. & Fiori, A. (2013). Dynamic Social Network Mining: Issues and Prospects. In V. Bhatnagar (Ed.), Data Mining in Dynamic Social Networks and Fuzzy Systems (pp. 122-144). IGI Global. https://doi.org/10.4018/978-1-4666-4213-3.ch007

Chicago

Cagliero, Luca, and Alessandro Fiori. "Dynamic Social Network Mining: Issues and Prospects." In Data Mining in Dynamic Social Networks and Fuzzy Systems, edited by Vishal Bhatnagar, 122-144. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-4213-3.ch007

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Abstract

This Chapter overviews most recent data mining approaches proposed in the context of social network analysis. In particular, it aims at classifying the proposed approaches based on both the adopted mining strategies and their suitability for supporting knowledge discovery in a dynamic context. To provide a thorough insight into the proposed approaches, main work issues and prospects in dynamic social network analysis are also outlined.

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