Comparative Analysis of Social Network Analysis and Visualisation Tools
Keywords:
Graph Mining, Social Network Analysis, Graph AttributesAbstract
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.
References
- Lei Tang and Huan Liu, "GRAPH MINING APPLICATIONS TO SOCIAL NETWORK ANALYSIS",Computer Science & Engineering Arizona State University
- C. L. E. E.-Z. a. M. G. David Combe, "A comparative study of social network analysis and tools," International Workshop on Web Intelligence and Visual Enterprises 2, pp. 1-12, 2010.
- 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
- "Basics of Graph," [Online]. Available: https://www.khanacademy.org/computing/computer-science/algorithms/graph-representation/a/describing-graphs.
- Ioana-Alexandra , "An overview of Software Applications for Social Network Analysis ", Volume 3, Issue 3, October 2013, 71-77
- https://gephi.org
- http://socnetv.sourceforge.net
- http://www.cytoscape.org
- http://yed.yworks.com/support/manual/snap_lines.html
Downloads
Published
Issue
Section
License
Copyright (c) IJSRSET

This work is licensed under a Creative Commons Attribution 4.0 International License.