Skip to main content
SpringerLink
Log in

Social Network Analysis of Different Parameters Derived from Realtime Profile

  • Conference paper
Distributed Computing and Internet Technology (ICDCIT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8956))

Abstract

The main objective of this work is to study network parameters commonly used to explain social structures. In this paper, we extract data from a real-time Facebook account using Netvizz application, analyze and evaluate network parameters on some widely recognized graph topology using GEPHI software.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Benevenuto, F., Rodrigues, T., Cha, M., Almeida, V.: Characterizing user behavior in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, ser. IMC 2009, pp. 49–62. ACM (2009)

    Google Scholar 

  2. Rodrguez, J., Yebra, J.: Bounding the diameter and the mean distance of a graph from its eigenvalues: Laplacian versus adjacency matrix methods. Discrete Mathematics 196(1-3), 267–275 (1999)

    Article  MathSciNet  Google Scholar 

  3. Goddard, W., Oellermann, O.: Distance in graphs. In: Dehmer, M. (ed.) Structural Analysis of Complex Networks, pp. 49–72. Birkhüser, Boston (2011)

    Chapter  Google Scholar 

  4. Freeman, L.C.: Centrality in social networks conceptual clarification. Social Networks 1(3), 215–239 (1978-1979)

    Google Scholar 

  5. Wang, T., Chen, Y., Zhang, Z., Xu, T., Jin, L., Hui, P., Deng, B., Li, X.: Understanding graph sampling algorithms for social network analysis. In: Proceedings of the 2011 31st International Conference on Distributed Computing Systems Workshops, ser. ICDCSW 2011, pp. 123–128. IEEE Computer Society (2011)

    Google Scholar 

  6. Rieder, B.: Studying facebook via data extraction: The netvizz application. In: Proceedings of the 5th Annual ACM Web Science Conference, pp. 346–355. ACM, New York (2013)

    Chapter  Google Scholar 

  7. Bastian, M., Heymann, S., Jacomy, M.: Gephi: An open source software for exploring and manipulating networks. In: Proceedings of International AAAI Conference on Weblogs and Social Media (2009)

    Google Scholar 

  8. Jacomy, M., Venturini, T., Heymann, S., Bastian, M.: Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software. PLoS ONE 9 (2014)

    Google Scholar 

  9. Fruchterman, T.M.J., Reingold, E.M.: Graph drawing by force-directed placement. Softw. Pract. Exper. 21(11), 1129–1164 (1991)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Technology, Govt. College of Engineering & Ceramic Technology, Kolkata, 700010, India

    Paramita Dey & Aniket Sinha

  2. Department of Computer Science & Engineering, Jadavpur University, Kolkata, 700032, India

    Sarbani Roy

Authors
  1. Paramita Dey
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aniket Sinha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sarbani Roy
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Technology and Computer Science, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, 400005, Mumbai, India

    Raja Natarajan

  2. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, 781039, Guwahati, India

    Gautam Barua

  3. Department of Computer Science,, Berhampur University, 760007, Berhampur, Odisha, India

    Manas Ranjan Patra

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Dey, P., Sinha, A., Roy, S. (2015). Social Network Analysis of Different Parameters Derived from Realtime Profile. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/10.1007/978-3-319-14977-6_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14977-6_50

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14976-9

  • Online ISBN: 978-3-319-14977-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation