Data mining of social networks represented as graphs

Nettleton, David F.

doi:http://dx.doi.org/10.1016/j.cosrev.2012.12.001

Data mining of social networks represented as graphs

Citación

Nettleton DF. Data mining of social networks represented as graphs. Comput Sci Rev. 2013 Feb;7(1):1-34. DOI: 10.1016/j.cosrev.2012.12.001

Resumen

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.