Comparative Analysis of Social Network Analysis and Visualisation Tools

Authors(2) :-Prof. Priyanka Shah, Dr. Richa Mehta

Data Analysis and Visualization is very important for big organizations. When social network data grows rapidly, it becomes difficult to analyse and visualize the data and perform complex comparisons. Various Data Analysis and Visualization tools are used to overcome this problem. The research provides a comparative study on popular visualization tools -Gephi, Cytoscape, SocNetV and yEd that could be used in the analysis of large datasets. Comparison study is categorized based on their significance-basic functionalities, network types, graph layouts, input file formats, graph attributes. Researcher uses denotation to measure social network analysis and visualization tools based on attributes.

Authors and Affiliations

Prof. Priyanka Shah
BCA, BPCCS College, KSV University, Gandhinagar, Gujarat, India
Dr. Richa Mehta
BCA, BPCCS College, KSV University, Gandhinagar, Gujarat, India

Graph Mining, Social Network Analysis, Graph Attributes

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  3. Nadeem Akhtar, "Social Network Analysis Tools", Department of Computer Engineering, Zakir Husain College of Engineering & Technology Aligarh Muslim University Aligarh, India, DOI: 10.1109/CSNT.2014.83, April 2014
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  5. Ioana-Alexandra , "An overview of Software Applications for Social Network Analysis ",  Volume 3, Issue 3, October 2013, 71-77

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 508-513
Manuscript Number : IJSRSET1731124
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Prof. Priyanka Shah, Dr. Richa Mehta, " Comparative Analysis of Social Network Analysis and Visualisation Tools, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp.508-513 , January-February-2017.
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