Empirical Investigation of Finding Person in Social network using Clustering
Author(s) -
Trupti S. Indi,
Raj Kulkarni,
Shrish Dixit
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/2356-3082
Subject(s) - computer science , cluster analysis , empirical research , social network (sociolinguistics) , data science , artificial intelligence , data mining , world wide web , statistics , social media , mathematics
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.
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