Pagerank Centrality
PageRank Centrality is a network centrality measure that quantifies the importance of a node based on the likelihood of it being visited during a stochastic random walk, with transitions biased toward out-neighbors and occasionally redirected to random nodes through a teleportation mechanism.
137
Publications
5.8K
Citations
408
Authors
240
Institutions
Publications per year
2017–2026
75
Parents
137
Federica Cerina, Zhen Zhu, Alessandro Chessa et al. · PLoS ONE · 2015 · 226 citations · Full text
Arda Halu, Raúl J. Mondragón, Pietro Panzarasa et al. · PLoS ONE · 2013 · 218 citations · Full text
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240

Centre National de la Recherche Scientifique
Paris, France
5 h-index
11 publications
266 citations
Queen Mary University of London
London, United Kingdom
5 h-index
9 publications
1K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
422 citations
The University of Tokyo
Tokyo, Japan
4 h-index
4 publications
151 citations
Laboratoire de Physique Théorique
Toulouse, France
4 h-index
7 publications
190 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
4 h-index
9 publications
210 citations
Indiana University Bloomington
Bloomington, United States
3 h-index
7 publications
1.1K citations
Columbia University
New York, United States
3 h-index
4 publications
143 citations
1–8 of 240
5 publications · 304 citations
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5 publications · 110 citations
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5 publications · 502 citations
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Repository · 3 publications · 136 citations
3
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3 publications · 62 citations
3
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