Bipartite Networks of Wikipediaʼs Articles and Authors: a Meso-level Approach

Rut Jesus, Martin Hansen-Schwartz, Sune Lehmann Jørgensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This exploratory study investigates the bipartite network of articles linked by common editors in Wikipedia, 'The Free Encyclopedia that Anyone Can Edit'. We use the articles in the categories (to depth three) of Physics and Philosophy and extract and focus on significant editors (at least 7 or 10 edits per each article). We construct a bipartite network, and from it, overlapping cliques of densely connected articles and editors. We cluster these densely connected cliques into larger modules to study examples of larger groups that display how volunteer editors flock around articles driven by interest, real-world controversies, or the result of coordination in WikiProjects. Our results confirm that topics aggregate editors; and show that highly coordinated efforts result in dense clusters.
    Original languageEnglish
    Title of host publicationWikiSym '09 : Proceedings of the 5th International Symposium on Wikis and Open Collaboration
    Number of pages10
    PublisherAssociation for Computing Machinery
    Publication date2009
    PagesArticle No. 5
    ISBN (Print)978-1-60558-730-1
    DOIs
    Publication statusPublished - 2009
    Event5th International Symposium on Wikis and Open Collaboration (WikiSym 2009) - Orlando, Florida, United States
    Duration: 25 Oct 200927 Oct 2009
    http://www.wikisym.org/ws2009/

    Conference

    Conference5th International Symposium on Wikis and Open Collaboration (WikiSym 2009)
    CountryUnited States
    CityOrlando, Florida
    Period25/10/200927/10/2009
    Internet address

    Cite this

    Jesus, R., Hansen-Schwartz, M., & Jørgensen, S. L. (2009). Bipartite Networks of Wikipediaʼs Articles and Authors: a Meso-level Approach. In WikiSym '09: Proceedings of the 5th International Symposium on Wikis and Open Collaboration (pp. Article No. 5). Association for Computing Machinery. https://doi.org/10.1145/1641309.1641318