Similarly to what happened for the Web at large, a structure has emerged from the collaborative creation of Wikipedia: its articles contain hundreds of millions of links. In Wikipedia parlance, these internal links are called wikilinks. These connections explain the topics being covered in articles and provide a way to navigate between different subjects, contextualizing the information, and making additional information available.
Cristian Consonni, a former Ph.D. candidate of mine, has developed novel methods to harness the information contained in the link structure of Wikipedia. More prosaically, we explored the link structure of Wikipedia with new approaches.
Three main papers have been published:
[RoyalSociety20] Cristian Consonni, David Laniado, and Alberto Montresor. Cyclerank, or there and back again: Personalized relevance scores from cyclic paths on directed graphs. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 476(2241), September 2020. [PDF] , [Bibtex] .
[WikiWorkshop19] Cristian Consonni, David Laniado, and Alberto Montresor. Discovering topical contexts from links in Wikipedia. In Proc. of the Wiki Workshop 2019, May 2019. [Bibtex] .
[ICWSM19] Cristian Consonni, David Laniado, and Alberto Montresor. WikiLinkGraphs: A complete, longitudinal and multi-language dataset of the Wikipedia link networks. In Proc. of the 13th International AAAI Conference on Web and Social Media, ICWSM’19, pages 598–607, June 2019. [PDF], [Bibtex].