Credibility-Based Twitter Social Network Analysis

  • Jebrin Al-Sharawneh
  • Suku Sinnappan
  • Mary-Anne Williams
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7808)

Abstract

Social Network (SN) members in Twitter communicate in varied contexts such as crisis. Formations within social networks are unique as some members have more influence over other members; members with more influence are known as leaders or pioneers. Finding leaders in a social network is the central factor in information dissemination; therefore, the main objective of this paper is to utilize social network information to identify leaders in Twitter during crisis situations. We propose a new approach to identify social network leaders based on their credibility which is drawn from their trustworthiness and expertise utilizing the “Follow the Leader” model based on the content quality generated by SN members. Our approach is highly innovative and the empirical results demonstrate that our approach can identify SN community leaders in a specific context (crisis) and has significant practical benefits.

Keywords

social network Twitter crisis leaders credibility follow the leader content quality 

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References

  1. 1.
    Agichtein, E., Castillo, C., Donato, D., Gionis, A., Mishne, G.: Finding high-quality content in social media. In: WDSM 2008, pp. 183–194. ACM (2008)Google Scholar
  2. 2.
    Al-Sharawneh, J., Williams, M.-A.: Credibility-based Social Network Recommendation: Follow the Leader. In: ACIS 2010 Proceedings, Paper 24, pp. 1–10 (2010), http://aisel.aisnet.org/acis2010/24
  3. 3.
    Bruns, A., Burgess, J.E., Crawford, K., Shaw, F.: # qldfloods and@ QPSMedia: Crisis Communication on Twitter in the 2011 South East Queensland Floods (2012) Google Scholar
  4. 4.
    Burt, R.S.: Brokerage and closure: An introduction to social capital. Oxford University Press, USA (2005)Google Scholar
  5. 5.
    Freeman, L.: Centrality in social networks conceptual clarification. Social Networks 1(3), 215–239 (1979)CrossRefGoogle Scholar
  6. 6.
    Goldbaum, D.: Follow the Leader: Simulations on a Dynamic Social Network, UTS Finance and Economics Working Paper No 155 (2008), http://www.business.uts.edu.au/finance/research/wpapers/wp155.pdf
  7. 7.
    Hanneman, R., Riddle, M.: Introduction to social network methods. University of California, Riverside (2005)Google Scholar
  8. 8.
    Kouzes, J.M., Posner, B.Z.: Credibility: How Leaders Gain and Lose It, Why People Demand It, Revised Edition. Jossey-Bass, San Francisco (2003) Google Scholar
  9. 9.
    Kwon, K., Cho, J., Park, Y.: Multidimensional credibility model for neighbor selection in collaborative recommendation. Expert Systems with Applications 36(3), 7114–7122 (2009)CrossRefGoogle Scholar
  10. 10.
    Liu, G., Wang, Y., Orgun, M.: Trust Inference in Complex Trust-Oriented Social Networks. In: Proceedings of the International Conference on Computational Science and Engineering, Vancouver, Canada, vol. 4, pp. 996–1001. IEEE (2009)Google Scholar
  11. 11.
    Sinnappan, S., Farrell, C., Stewart, E.: Priceless tweets! A study on Twitter messages posted during crisis: Black Saturday. In: ACIS 2010 Proceedings, Paper 39 (2010)Google Scholar
  12. 12.
    Starbird, K., Palen, L., Hughes, A.L., Vieweg, S.: Chatter on the red: what hazards threat reveals about the social life of microblogged information. In: Proceedings of the ACM 2010 Conference on Computer Supported Cooperative Work (CSCW 2010), pp. 241–250 (2010)Google Scholar
  13. 13.
    Xu, Y., Ma, J., Sun, Y., Hao, J., Zhao, Y.: Using Social Network Analysis as a Strategy for e-Commerce Recommendation. In: PACIS 2009 Proceedings, p. 106 (2009)Google Scholar
  14. 14.
    Ziegler, C.N., Golbeck, J.: Investigating interactions of trust and interest similarity. Decision Support Systems 43(2), 460–475 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jebrin Al-Sharawneh
    • 1
  • Suku Sinnappan
    • 2
  • Mary-Anne Williams
    • 1
  1. 1.Centre for Quantum Computation & Intelligent Systems (QCIS)University of Technology SydneySydneyAustralia
  2. 2.Swinburne UniversityAustralia

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