Mgephi : Modified Gephi for Effective Social Network Analysis

Authors

  • Dr. M.Thangaraj  Department of Computer Science/Madurai Kamaraj University/Madurai, Tamil Nadu, India
  • S. Amutha  Department of Computer Science/Manonmanian Sundaranar University/Tirunelveli, Tamil Nadu, India

Keywords:

Social Network Analysis, Gephi, Pajek, NodeXL, Partition, Visualization, FishEye Transformation.

Abstract

One of the most visible trends on the web is the emergence of social web sites, which is help people create and gather knowledge by simplifying user contribution via blogs, tagging and folksonomies, wikis, podcasts and online Social Networks. Social Network Analysis network can be very large containing from thousands to even millions of nodes. The sheer number of nodes and links makes drawing the entire network computationally infeasible. SNA tools are used find the Ranking, Partitions, and Layouts with various algorithms, visualization, Statistics and Filters the nodes and edges in the large type of datasets and done Network Analysis module, Permutation hierarchy and fisheye transformation etc. The feature performed in Modified Gephi framework. In this paper, a new framework is proposed for an effective Social Network Analysis. The framework is implementing for measuring the performance. The performance measures show remarkable improvement over their existing methods.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

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Research Articles

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How to Cite

[1]
Dr. M.Thangaraj, S. Amutha, " Mgephi : Modified Gephi for Effective Social Network Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.39-50, January-February-2018.