Circadian Patterns on Wikipedia Edits

  • Y. Gandica
  • R. Lambiotte
  • T. Carletti
  • F. Sampaio dos Aidos
  • J. Carvalho
Part of the Studies in Computational Intelligence book series (SCI, volume 644)


Cyclic behaviour and circadian patterns emerging from the editing activity of Wikipedia are hereby considered. Such patterns affect many human activities, mobility routes, energy storage and synchronization, among others. Because the editing of Wikipedia is the result of a voluntary process made by many independent human beings, the question about the signature of such circadian patterns on such data is not straightforward. We however show in this work that Wikipedia editing presents well defined periodic patterns with respect to daily, weekly and monthly activity. In addition, we also show the periodic nature of the number of inter-event in time. The results of our work shed some light on the activity scheduling present in our society, contributing to the circadian patterns understanding.


Circadian Pattern Cyclic Nature Circadian Cycle Mobility Route Editing Activity 
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.



The work of Y.G, R.L and T.C. presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its author(s).


  1. 1.
    Giles, J.: Internet encyclopaedias go head to head. Nature 438, 900 (2005)CrossRefGoogle Scholar
  2. 2.
    Halfaker, A., Kittur, A., Kraut, R., Riedl, J.: A jury of your peers: quality, experience and ownership in Wikipedia. In: WikiSym09, article no. 15Google Scholar
  3. 3.
    Gandica, Y., Carvalho, J., Dos Aidos F.S.: Wikipedia editing dynamics. Phys. Rev. E 91, 012824 (2015)Google Scholar
  4. 4.
    Kimmons, R.M.: Understanding collaboration in Wikipedia. First Monday 16, 12 (2011)Google Scholar
  5. 5.
    Bianconi, G., Barabási, A.-L.: Competition and multiscaling in evolving networks. EPL 54, 436 (2001)CrossRefGoogle Scholar
  6. 6.
    Dorogovtsev, S.N., Mendes, J.F.F.: Scaling properties of scale-free evolving networks: continuous approach. Phys. Rev. E 63, 056125 (2001)CrossRefGoogle Scholar
  7. 7.
    Vicent, N.L., Gómez, Z., Kappen, H.J., Kaltenbrunner, A.: World Wide Web 16, 645 (2013)Google Scholar
  8. 8.
    Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of networks with aging of sites. Phys. Rev. E 62, 1842 (2000)CrossRefGoogle Scholar
  9. 9.
    Javanmardi, S., Lopes, C., Baldi, P.: Modeling User Reputation in Wikis. Stat. Anal. Data Min.: ASA Data Sci. J. 3, 126 (2010)Google Scholar
  10. 10.
    Malmgren, R.D., et al.: Poissonian explanation for heavy tails in e-mail communication. PNAS 105(47), 18153 (2008)Google Scholar
  11. 11.
    Malmgren, R.D., et al.: On universality in human correspondence activity. Science 325, 1696 (2009)CrossRefGoogle Scholar
  12. 12.
    Hang-Hyun, J., et al.: Circadian pattern and burstiness in mobile phone communication. New J. Phys. 14, 013055 (2012)CrossRefGoogle Scholar
  13. 13.
  14. 14.
    Gandica, Y., Carvalho, J., Aidos, F.S., Lambiotte, R., Carletti, T.: On the origin of burstiness in human behavior: the wikipedia edits case (2016)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Y. Gandica
    • 1
  • R. Lambiotte
    • 1
  • T. Carletti
    • 1
  • F. Sampaio dos Aidos
    • 2
  • J. Carvalho
    • 2
  1. 1.Department of Mathematics and Namur Center for Complex Systems—naXysUniversity of NamurNamurBelgium
  2. 2.CFisUC, Department of PhysicsUniversity of CoimbraCoimbraPortugal

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