InfluenceTracker: Rating the Impact of a Twitter Account

  • Gerasimos Razis
  • Ioannis Anagnostopoulos
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 437)


This paper describes a methodology for rating the influence of a Twitter account in this famous microblogging service. Then it is evaluated over real accounts, under the belief that influence is not only a matter of quantity (amount of followers), but also a mixture of quality measures that reflect interaction, awareness, and visibility in the social sphere. The authors of this paper have created “InfluenceTracker”, a publicly available website where anyone can rate and compare the recent activity of any Twitter account.


Twitter Influence Information Diffusion 


  1. [Bakshy et al., 2012]
    Bakshy, E., Rosenn, I., Marlow, C., Adamic, L.A.: The role of social networks in information diffusion. In: WWW, Lyon, France, pp. 519–528 (2012)Google Scholar
  2. [Cha et al., 2010]
    Cha, M., Haddadi, H., Benevenuto, F., Krishna Gummadi, P.: Measuring User Influence in Twitter: The Million Follower Fallacy. In: ICWSM, Washington, DC, USA (2010)Google Scholar
  3. [Goyal et al.]
    Goyal, A., Bonchi, F., Lakshmanan, L.V.S.: Learning influence probabilities in social networks. In: WSDM, pp. 241–250 (2010)Google Scholar
  4. [Hirsch, 2005]
    Hirsch, J.: An index to quantify an individual’s scientific research output. PNAS USA 7(46), 16569–16572 (2005)CrossRefGoogle Scholar
  5. [Kimura and Saito, 2006]
    Kimura, M., Saito, K.: Tractable models for information diffusion in social networks. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol. 4213, pp. 259–271. Springer, Heidelberg (2006)Google Scholar
  6. [Kwak et al., 2010]
    Kwak, H., Lee, C., Park, H., Moon, S.B.: What is Twitter, a social network or a news media? In: WWW, Raleigh, North Carolina, USA, pp. 591–600 (2010)Google Scholar
  7. [Leavitt et al.]
    Leavitt, A., Burchard, E., Fisher, D., Gilber, S.: The Influentials: New Approaches for Analyzing Influence on Twitter. Web Ecology Project 92, 1–18 (2009)Google Scholar
  8. [Lerman and Ghosh, 2010]
    Lerman, K., Ghosh, R.: Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. In: ICWSM, Washington, DC, USA (2010)Google Scholar
  9. [Romero et al., 2011]
    Romero, D.M., Asur, S., Galuba, W., Huberman, B.A.: Influence and Passivity in Social Media. In: WWW (Companion Volume), pp. 113–114 (2011)Google Scholar
  10. [Weng at al., 2010]
    Weng, J., Lim, E.-P., Jiang, J., He, Q.: TwitterRank: finding topic-sensitive influential twitterers. In: WSDM, pp. 261–270 (2010)Google Scholar
  11. [Yang and Counts, 2010]
    Yang, J., Counts, S.: Predicting the Speed, Scale, and Range of Information Diffusion in Twitter. In: ICWSM, Washington, DC, USA (2010)Google Scholar
  12. [Yang and Leskovec, 2010]
    Yang, J., Leskovec, J.: Modeling Information Diffusion in Implicit Networks. In: ICDM, pp. 599–608 (2010)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Gerasimos Razis
    • 1
  • Ioannis Anagnostopoulos
    • 1
  1. 1.Computer Science and Biomedical Informatics Dpt.University of ThessalyLamiaGreece

Personalised recommendations