2021/05/21 by Fumiko Ogushi, Ogushi, Fumiko, János Kertész +5
Computer Science · Social Sciences · #FOS: Computer and information sciences #FOS: Physical sciences #Open Source Software Innovations #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Wikis in Education and Collaboration
paper · pdf · doi:10.48550/arxiv.2105.10333
openalex publication_date 2021/05/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Wikipedia, a paradigmatic example of online knowledge space is organized in a collaborative, bottom-up way with voluntary contributions, yet it maintains a level of reliability comparable to that of traditional encyclopedias. The lack of selected professional writers and editors makes the judgement about quality and trustworthiness of the articles a real challenge. Here we show that a self-consistent metrics for the network defined by the edit records captures well the character of editors' activity and the articles' level of complexity. Using our metrics, one can better identify the human-labeled high-quality articles, e.g., "featured" ones, and differentiate them from the popular and controversial articles. Furthermore, the dynamics of the editor-article system is also well captured by the metrics, revealing the evolutionary pathways of articles and diverse roles of editors. We demonstrate that the collective effort of the editors indeed drives to the direction of article improvement.