Research Article

Empirical Investigation of Finding Person in Social Network using Clustering

by  Trupti S. Indi, Raj B. Kulkarni, S.K.Dixit
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Issue 5
Published: April 2011
Authors: Trupti S. Indi, Raj B. Kulkarni, S.K.Dixit
10.5120/2356-3082
PDF

Trupti S. Indi, Raj B. Kulkarni, S.K.Dixit . Empirical Investigation of Finding Person in Social Network using Clustering. International Journal of Computer Applications. 19, 5 (April 2011), 29-34. DOI=10.5120/2356-3082

                        @article{ 10.5120/2356-3082,
                        author  = { Trupti S. Indi,Raj B. Kulkarni,S.K.Dixit },
                        title   = { Empirical Investigation of Finding Person in Social Network using Clustering },
                        journal = { International Journal of Computer Applications },
                        year    = { 2011 },
                        volume  = { 19 },
                        number  = { 5 },
                        pages   = { 29-34 },
                        doi     = { 10.5120/2356-3082 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2011
                        %A Trupti S. Indi
                        %A Raj B. Kulkarni
                        %A S.K.Dixit
                        %T Empirical Investigation of Finding Person in Social Network using Clustering%T 
                        %J International Journal of Computer Applications
                        %V 19
                        %N 5
                        %P 29-34
                        %R 10.5120/2356-3082
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

We are trying to identify person as an entity from social network data by grouping the person with some characteristics. It is very difficult to identify people on social networks especially for specific names in different cultures like India, and other ethnic places whose names are difficult to trace. This is a small effort to bridge the gap of identifying person with features like name, date of birth and address containing state, city etc. We are trying to make use of clustering algorithms to uniquely identify people/person on social networks. An empirical analysis of the same is presented here.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Social network clustering features CURE

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