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Investigating Saturation in Collaboration and Cohesiveness of Wikipedia Using Motifs Analysis

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Complex Networks and Their Applications VIII (COMPLEX NETWORKS 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 882))

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Abstract

Wikipedia is a multilingual encyclopedia that works on the idea of virtual collaboration. Initially, its contents such as articles, editors and edits grow exponentially. Further growth analysis of Wikipedia shows slowdown or saturation in its contents. In this paper, we investigate whether two essential characteristics of Wikipedia, collaboration and cohesiveness also encounter the phenomenon of slowdown or saturation with time. Collaboration in Wikipedia is the process where two or more editors edit together to complete a common article. Cohesiveness is the extent to which a group of editors stays together for mutual interest. We employ the concept of network motifs to investigate saturation in these two considered characteristics of Wikipedia. We consider star motifs of articles with the average number of edits to study the growth of collaboration and 2 \(\times \) 2 complete bicliques or “butterfly” motifs to interpret the change in the cohesiveness of Wikipedia. We present the change in the count of the mentioned network motifs for the top 22 languages of Wikipedia upto May 2019. We observe saturation in collaboration while the linear or sudden rise in cohesiveness in most of the languages of Wikipedia. We therefore notice, although the contents of Wikipedia encounter natural limits of growth, the activities of editors are still improving with time.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/List_of_most_popular_websites.

  2. 2.

    https://en.wikipedia.org/wiki/List_of_Wikipedias.

  3. 3.

    https://en.wikipedia.org/wiki/Wikipedia:Modelling_Wikipedia%27s_growth.

  4. 4.

    https://dumps.wikimedia.org/.

  5. 5.

    https://en.wikipedia.org/wiki/Category:All_Wikipedia_bots.

  6. 6.

    https://en.wikipedia.org/wiki/Wikipedia:Collaborations.

  7. 7.

    https://github.com/beginner1010/butterfly-counting.

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Chandra, A., Maiti, A. (2020). Investigating Saturation in Collaboration and Cohesiveness of Wikipedia Using Motifs Analysis. In: Cherifi, H., Gaito, S., Mendes, J., Moro, E., Rocha, L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 882. Springer, Cham. https://doi.org/10.1007/978-3-030-36683-4_10

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