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The double power law in human collaboration behavior: The case of Wikipedia

Author

Listed:
  • Kwon, Okyu
  • Son, Woo-Sik
  • Jung, Woo-Sung

Abstract

We study human behavior in terms of the inter-event time distribution of revision behavior on Wikipedia, an online collaborative encyclopedia. We observe a double power law distribution for the inter-editing behavior at the population level and a single power law distribution at the individual level. Although interactions between users are indirect or moderate on Wikipedia, we determine that the synchronized editing behavior among users plays a key role in determining the slope of the tail of the double power law distribution.

Suggested Citation

  • Kwon, Okyu & Son, Woo-Sik & Jung, Woo-Sung, 2016. "The double power law in human collaboration behavior: The case of Wikipedia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 85-91.
    • Handle: RePEc:eee:phsmap:v:461:y:2016:i:c:p:85-91
    DOI: 10.1016/j.physa.2016.05.010
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    Cited by:

    1. Rashidisabet, Homa & Ajilore, Olusola & Leow, Alex & Demos, Alexander P., 2022. "Revisiting power-law estimation with applications to real-world human typing dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    2. Zhang, Xin & Xie, Sheng & Vilela, André L.M. & Stanley, H. Eugene, 2019. "Inter-event time interval analysis of organizational-level activity: Venture capital market case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 346-355.
    3. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Li, Jiangtao & Yang, Zhenzhen & Gao, Ziyou, 2022. "Identifying intercity freight trip ends of heavy trucks from GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).

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