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A Centrality for Social Media Users Focusing on Information-Gathering Ability
The paper generalizes Katz centrality with per-node information-source weights and per-node retweet (forwarding) probabilities to define an efficiently computable Information-Gathering Centrality for social media users, and shows on two Twitter follow graphs that it ranks users differently from Katz

Mamoru Yamakawa (Kyoto University, Kyoto, Japan) and Keishi Tajima (Kyoto University, Kyoto, Japan)

4 September 2023
7
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Gabo Beaumont
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Eric Vicenti
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Mark Anderson
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