ISSN : 2319-7323




INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING


Open Access

ABSTRACT

Title : Multi-source Fusion Approaches for Efficient Community Detection in Social Networks
Authors : Mehrafarin Adami, Mohammad Nadimi, Reza Ghaemi
Keywords : Social networks, Community detection process, Multi-source fusion approaches
Issue Date : September 2013
Abstract : Social network community detection is an important issue for means of effective advertisements, accurate recommender systems and tracking changes. Since social networks consist of several data sources, they can be informative that yield self-descriptive communities. Accuracy, efficiency and scalability of community detection can be enhanced by selection of these data sources and determination of the appropriate combining approach. Traditional approaches express concern over community detection algorithms. To prevent semantic confliction and managing multiple data sources, a process is necessary to bring all necessary steps together. In this paper this process is clarified. Moreover, several effective approaches for combining the data sources are compared.
Page(s) : 222-228
ISSN : 2319-7323
Source : Vol. 2, No.5