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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Benevenuto, F., Rodrigues, F., Cha, M., Almeida.: Characterizing user behavior in online social networks. In: Proceedings of ACM IMC (2009)
Rieder, B.: Studying facebook via data extraction: the Netvizz application. In: WebSci, Paris, France, ACM 978-1-4503-1889-1, May 24 2013
Wilson, R.E., Gosling, S.D., Graham, L.T.: A review of facebook research in the social sciences perspectives. Psychol. Sci. 7(3), 203–220 (2012)
Gephi Official Website: https://gephi.github.io
Jacomy, M., Heymann, S., Venturini, T., Bastian, M.: ForceAtlas2, a continuous graph layout algorithm for handy network visualization. PloS One 9(6), (2010)
Fruchterman, T.M.J., Reingold, E.M.: Graph drawing by force-directed placement. Softw: Pract. Expert 21(11), 1129–1164 (1991)
Wayne, G., Oellermann, R.O.: Distance in Graphs, Structural Analysis of Complex Networks, pp. 49–72. Springer (2011)
Wang, T., Chen, Y., Zhang, Xu, T., Jin, L., Hui, P., Deng, B., Li, X.: Understanding graph sampling algorithms for social network analysis. In: Simplex, IEEE ICDCS, Minneapolis, USA, pp. 123–128 June 20–24 2011
Kleinberg, J.: Authoritative sources in a hyperlinked environment. In: Proceedings of 9th ACM-SIAM Symposium on Discrete Algorithms (1998)
Freeman, L.C.: Centrality in social networks: conceptual clarification. Soc. Netw. 1, 215–239 (1978/1979)
Ronald, S.B.: Social contagion and innovation: Cohesion versus structural equivalence. Am. J. Sociol. 92(6), 1287–1335 (1987)
Fortunato, S., Castellano, C.: Community structure in graphs. Phys. Rep. (2007)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-81-322-2517-1_13
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2516-4
Online ISBN: 978-81-322-2517-1
eBook Packages: EngineeringEngineering (R0)