Discovering Communities in Social Networks Through Mutual Accessibility
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
Social network gains popularity due to its ease of use, as an application of Web 2.0 which facilitates users to communicate, interact and share on the World Wide Web. A Social network is a set of people or organizations or other ocial entities onnected by a set of social relationships, such as friendship, co – working or information exchange. Social etwork analysis is the study of social networks to understand their structure and behavior. The study of networks is an active area of research due to its capability of modeling many real world complex ystems. One such interesting property to nvestigate n any typical network is the community structure which is the division of networks into groups. Discovering communities in a social network environment is graph partitioning problem. one of the existing methods discussed about knowing the nodes of the network mutually. Hence, we propose a new pproach alled “mutual accessibility”, to discover communities in a social network environment. We proved comparative study as results by taking both synthetic dataset and real datasets. There is a significant improvement in terms of accuracy and the number of communities discovered in the results obtained by this method.
Authors and Affiliations
Dr. M. Mohamed Sathik , A. Abdul Rasheed
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