The European Physical Journal Special Topics

, Volume 223, Issue 9, pp 1849–1858 | Cite as

Statistics of co-occurring keywords in confined text messages on Twitter

  • J. Mathiesen
  • L. Angheluta
  • M. H. Jensen
Regular Article
Part of the following topical collections:
  1. Soft Matter in Confinement: Systems from Biology to Physics


Online social media such as the micro-blogging site Twitter has become a rich source of real-time data on online human behaviors. Here we analyze the occurrence and co-occurrence frequency of keywords in user posts on Twitter. From the occurrence rate of major international brand names, we provide examples of predictions of brand-user behaviors. From the co-occurrence rates, we further analyze the user-perceived relationships between international brand names and construct the corresponding relationship networks. In general the user activity on Twitter is highly intermittent and we show that the occurrence rate of brand names forms a highly correlated time signal.


European Physical Journal Special Topic Probability Distribution Function Occurrence Rate Twitter User Sentiment Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    A.L. Barabasi, Nature 435(7039), 207 (2005)CrossRefADSGoogle Scholar
  2. 2.
    A. Vázquez, J.G. Oliveira, Z. Dezsö, K.I. Goh, I. Kondor, A.L. Barabási, Phys. Rev. E 73, 036127 (2006)CrossRefADSGoogle Scholar
  3. 3.
    J. Mathiesen, L. Angheluta, P.T. Ahlgren, M.H. Jensen, Proc. Natl. Acad. Sci. 110, 17259 (2013)CrossRefADSGoogle Scholar
  4. 4.
    J. Ratkiewskicz, S. Fortunato, F. Flammini, A. Vespignani, Phys. Rev. Lett. 105, 158701 (2010)CrossRefADSGoogle Scholar
  5. 5.
    J. Leskovec, M. McGlohon, C. Faloutsos, N. Glance, M. Hurst, Proc. SIAM Int. Conf. on Data Mining (SDM) (2007)Google Scholar
  6. 6.
    B. Gonalves, J.J. Ramasco, Phys. Rev. E 78, 026123 (2008)CrossRefADSGoogle Scholar
  7. 7.
    D. Helbing, I. Farkas, T. Vicsek, Nature 407, 487 (2000)CrossRefADSGoogle Scholar
  8. 8.
    D. Helbing, A. Johansson, J. Mathiesen, M.H. Jensen, A. Hansen, Phys. Rev. Lett. 97, 168001 (2006)CrossRefADSGoogle Scholar
  9. 9.
    R. Donangelo, M.H. Jensen, I. Simonsen, K. Sneppen, J. Stat. Mech.: Theory Exper. 2006, L11001 (2006)CrossRefGoogle Scholar
  10. 10.
    J.O. Haerter, B. Jamtveit, J. Mathiesen, Phys. Rev. Let. 109, 168701 (2012)CrossRefADSGoogle Scholar
  11. 11.
    J. Kulshrestha, F. Kooti, A. Nikravesh, P.K. Gummadi, Geographic Dissection of the Twitter Network. In ICWSM (2012)Google Scholar
  12. 12.
    A. Mislove, S. Lehmann, Y.Y. Ahn, J.P. Onnela, J.N. Rosenquist, Understanding the Demographics of Twitter Users. In ICWSM (2011)Google Scholar
  13. 13.
    H. Choi, H. Varian, Econom. Record 88, 2 (2012)CrossRefGoogle Scholar
  14. 14.
    J. Bollen, H. Mao, H., X. Zeng, J. Comput. Sci. 2, 1 (2011)CrossRefGoogle Scholar
  15. 15.
    X. Zhang, H. Fuehres, P.A. Gloor, Proc.-Social Behav. Sci. 26, 55 (2011)CrossRefGoogle Scholar
  16. 16.
    S. Asur, B.A. Huberman (2010, August), Predicting the future with social media. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on Vol. 1, IEEE, p. 492Google Scholar
  17. 17.
    H. Kwak, C. Lee, H. Park, S. Moon, What is Twitter, a social network or a news media? Proceedings of the 19th international conference on World Wide Web (2010), p 591Google Scholar
  18. 18.
    M. Rosvall, C.T. Bergstrom, Proc. Natl. Acad. Sci. 105, 1118 (2008)CrossRefADSGoogle Scholar
  19. 19.
    J. Mathiesen, P. Yde, M.H. Jensen, Scient. Rep. 2 (2012)Google Scholar
  20. 20.
    M. Steyvers, J.B. Tenenbaum, Cognit. Sci. 29, 4178 (2005)Google Scholar
  21. 21.
    C. Cattuto, A. Barrat, A. Baldassarro, G. Schehr, V. Loreto, Proc. Natl. Acad. Sci. USA 26, 10511 (2009)CrossRefGoogle Scholar

Copyright information

© EDP Sciences and Springer 2014

Authors and Affiliations

  • J. Mathiesen
    • 1
  • L. Angheluta
    • 2
  • M. H. Jensen
    • 1
  1. 1.Niels Bohr InstituteUniversity of CopenhagenCopenhagenDenmark
  2. 2.Physics of Geological Processes, Department of PhysicsUniversity of OsloBlindernOslo, Norway

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