A Comparative Analysis of Different Social Network Parameters Derived from Facebook Profiles

  • Paramita Dey
  • Sarbani Roy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 379)


In social network analysis (SNA), using online social media, it is possible to collect large open source information and to analyze those data for knowing the characteristics of these networks. The main objective of this work is to study online social network parameters commonly used to explain social structures. In this paper, we have extracted data from the three real-time facebook accounts using Netvizz application. Gephi, a open source free software, is used for analysis and evaluation of these network parameters. This analysis shows some well-known network parameters like calculating clustering coefficient (CC) of clusters, group formation, finding node degree distribution (NDD), identifying influential node etc., which can be used for further feature extraction.


Social network analysis Facebook profiles Social network parameters Netvizz Gephi 



We would like to thank Subrata Dey, Aniket Sinha and Dr. Krishnendu Dutta for sharing their Facebook profiles with us for data collection purposes.


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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of Information TechnologyGCECTKolkataIndia
  2. 2.Department of Computer Science & EngineeringJadavpur UniversityKolkataIndia

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