INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.6, No.1, Dec. 2013

Social Network Clustering

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Author(s)

Narges Azizifard

Index Terms

Social Networks, Clustering, Community, Modularity, Random Walks

Abstract

As we know, the datasets related to social networks are increasing. There are different procedures to analyze these types of datasets; one of these procedures is clustering which makes communities of social data. Random walk is a process which can find communities in a network, in other words when a random walk is used, it scans the nodes in some steps; it begins with an initial node and based on a random process progresses to neighboring nodes. In this paper an algorithm is proposed which aims to finding communities in a way that modularity factor increases, for this goal, random walks with random local search agent are combined. Experimental results show that the proposed method gives better modularity in comparison with other algorithms.

Cite This Paper

Narges Azizifard,"Social Network Clustering", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.1, pp.76-81, 2014. DOI: 10.5815/ijitcs.2014.01.09

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