Similarly to what happened with 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 covered in articles and provide a way to navigate between different subjects, contextualizing the content and making additional information available.
Cristian Consonni, a former PhD candidate of mine, developed novel methods to harness the information contained in Wikipedia’s link structure. More prosaically, we explored this structure using new approaches.
[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].
[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] .
[ICDE24] Luca Cavalcanti, Cristian Consonni, Martin Brugnara, David Laniado, and Alberto Montresor. Comparing personalized relevance algorithms for directed graphs. In 40th IEEE International Conference on Data Engineering, ICDE’24, pages 5401–5404. IEEE, May 2024.