期刊
COMPUTER SCIENCE REVIEW
卷 7, 期 -, 页码 1-34出版社
ELSEVIER
DOI: 10.1016/j.cosrev.2012.12.001
关键词
Graphs; Online social networks; Graph mining; Data mining; Statistical analysis; Data modelling
类别
资金
- Spanish MEC [HIPERGRAPH TIN2009-14560-C03-01]
In this survey we review the literature and concepts of the data mining of social networks, with special emphasis on their representation as a graph structure. The survey is divided into two principal parts: first we conduct a survey of the literature which forms the 'basis' and background for the field; second we define a set of 'hot topics' which are currently in vogue in congresses and the literature. The 'basis' or background part is divided into four major themes: graph theory, social networks, online social networks and graph mining. The graph mining theme is organized into ten subthemes. The second, 'hot topic' part, is divided into five major themes: communities, influence and recommendation, models metrics and dynamics, behaviour and relationships, and information diffusion. (C) 2013 Elsevier Inc. All rights reserved.
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