The European Physical Journal Special Topics

, Volume 223, Issue 9, pp 1849–1858

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

  • J. Mathiesen
  • L. Angheluta
  • M. H. Jensen
Regular Article

DOI: 10.1140/epjst/e2014-02230-y

Cite this article as:
Mathiesen, J., Angheluta, L. & Jensen, M.H. Eur. Phys. J. Spec. Top. (2014) 223: 1849. doi:10.1140/epjst/e2014-02230-y
Part of the following topical collections:
  1. Soft Matter in Confinement: Systems from Biology to Physics

Abstract

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.

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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