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

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 379))

Abstract

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.

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Acknowledgments

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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Correspondence to Sarbani Roy .

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Dey, P., Roy, S. (2016). A Comparative Analysis of Different Social Network Parameters Derived from Facebook Profiles. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2517-1_13

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  • DOI: https://doi.org/10.1007/978-81-322-2517-1_13

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2516-4

  • Online ISBN: 978-81-322-2517-1

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