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Towards Designing a Light Weight Social Network Analysis Tool

Date post: 15-Apr-2017
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Discussion & Conclusion Discussion & Conclusion In this tool, many algorithms are developed to measure the Metrics (Measures) in social network analysis. We have carried out a comparative study by comparing the performance of our tool with other well known tool NetworkX. References References [1] A. Abraham, A. E. Hassanien, and V. Snasel. Computational Social Network Anal- ysis. 2010. [2] A.D. Andrea, F. Ferri, and P. Grifoni. An overview of methods for virtual social networks analysis. 2010. [3] S. Balasubramanian and V. Mahajan. The economic leverage of the virtual com- munity. Technical report, 2001. Figure 1 : Example of a Social Network Figure 2 : Visualization of a Social Network Figure 4 : Connected Components in a Social network Figure 5 : Shortest path between two nodes Figure 7 : Community in a Social Network Figure 8 : Visualization Speed Comparison with NetworkX Figure 9 Degree CentralityComparison with NetworkX Towards Designing a Light Weight Social Network Analysis Tool Veerasingam Visithan and Thabotharan Kathiravelu University of Jaffna, Sri Lanka. [email protected] Figure 3 : Degree of a Node Figure 6 : Centrality in a Network
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Page 1: Towards Designing a Light Weight Social Network Analysis Tool

Performance ComparisonPerformance Comparison

Discussion & ConclusionDiscussion & Conclusion In this tool, many algorithms are developed to measure the Metrics (Measures) in social network analysis. We have carried out a comparative study by comparing the performance of our tool with other well known tool NetworkX.

ReferencesReferences[1] A. Abraham, A. E. Hassanien, and V. Snasel. Computational Social Network Anal-ysis. 2010.[2] A.D. Andrea, F. Ferri, and P. Grifoni. An overview of methods for virtual socialnetworks analysis. 2010.[3] S. Balasubramanian and V. Mahajan. The economic leverage of the virtual com-munity. Technical report, 2001.[4] V. BATAGELJ. Social network analysis, large-scale. Technical report, Universityof Ljubljana, Ljubljana, Slovenia, 2008.[5] U. Brandes. A faster algorithm for betweenness centrality. 2001.

Figure 1 : Example of a Social Network

Figure 2 : Visualization of a Social Network

Figure 4 : Connected Components in a Social network

Figure 5 : Shortest path between two nodes

Figure 7 : Community in a Social Network

Figure 8 : Visualization Speed Comparison with NetworkX

Figure 9 Degree CentralityComparison with NetworkX

Towards Designing a Light Weight Social Network Analysis Tool

Veerasingam Visithan and Thabotharan KathiraveluUniversity of Jaffna, Sri Lanka.

[email protected]

Figure 3 : Degree of a Node

Figure 6 : Centrality in a Network

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