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- doi
- 10.1145/3603163.3609047
- isbn
- 979-8-4007-0232-7
- name
- A Centrality for Social Media Users Focusing on Information-Gathering Ability
- source
- acm_url
- https://dl.acm.org/doi/10.1145/3603163.3609047
- authors
- Mamoru Yamakawa, Keishi Tajima
- doi_url
- https://doi.org/10.1145/3603163.3609047
- license
- CC BY 4.0
- summary
- 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
- published
- 2023-09-04
- conference
- HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
- open_access
- true
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3603163.3609047
- displayAuthor
- Mamoru Yamakawa (Kyoto University, Kyoto, Japan) and Keishi Tajima (Kyoto University, Kyoto, Japan)
- displayPublishTime
- 2023-09-04
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