e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : IDENTIFICATION OF LEADING RESEARCH CONTRIBUTORS WITH NOVEL PERFORMANCE METRICS USING ACADEMIC SOCIAL NETWORK
Authors : G.Ayyappan, Dr.C.Nalini, Dr.A.Kumaravel
Keywords : Data Mining, Academic Social Network, Weighted Frequency, Individual Frequency.
Issue Date : Sep 2017
Abstract :
Social network is a structure of human relations and association. It is made up of a organized social actors in a network form. Information has varied number of forms and various purposes for communication. Journals serve as major source of primary information. The Researchers tend to publish more and more research output in journals. This paper focuses on the novel techniques for identifying the leading research contribution in the clusters of research social networks
Page(s) : 580-584
ISSN : 0975–3397
Source : Vol. 9, Issue.09

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