Ten Years of Open Wikipedia Ranking

The Open Wikipedia Ranking is an open dataset published yearly, containing the ranking of Wikipedia pages with respect to centrality measures computed on the whole Wikipedia graph for that year. In this paper, ten years after its start, we report some details, results and anecdotal observations on this dataset. The goal of the Open Wikipedia Ranking is to provide a completely open and reproducible ranking of Wikipedia pages based on indegree, PageRank, harmonic centrality, and page views; the Wikipedia graphs themselves are also made available by the Laboratory of Web Algorithmics. What characterizes the Open Wikipedia Ranking is that the whole graph construction and ranking process are meticulously documented and reproducible. All computations are based on open-source Java software and algorithms from the literature. Thus, the reason of the centrality score of pages can be exactly traced back to structural graph properties.

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Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3715510
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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Ten Years of Open Wikipedia Ranking

Sebastiano Vigna, Paolo Boldi, Flavio Furia
Web Data Mining and Analysis
article

Ten Years of Open Wikipedia Ranking

Sebastiano Vigna, Paolo Boldi, Flavio Furia
article en

Abstract

The Open Wikipedia Ranking is an open dataset published yearly, containing the ranking of Wikipedia pages with respect to centrality measures computed on the whole Wikipedia graph for that year. In this paper, ten years after its start, we report some details, results and anecdotal observations on this dataset. The goal of the Open Wikipedia Ranking is to provide a completely open and reproducible ranking of Wikipedia pages based on indegree, PageRank, harmonic centrality, and page views; the Wikipedia graphs themselves are also made available by the Laboratory of Web Algorithmics. What characterizes the Open Wikipedia Ranking is that the whole graph construction and ranking process are meticulously documented and reproducible. All computations are based on open-source Java software and algorithms from the literature. Thus, the reason of the centrality score of pages can be exactly traced back to structural graph properties.

University of Milan (IT)
European Commission
Openalex Percentile: Top 84%
Web Data Mining and Analysis
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