SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks

Lin, M, Li, W, Song, LJ orcid.org/0000-0002-0969-4091 et al. (3 more authors) (2021) SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks. ACM Transactions on Knowledge Discovery from Data, 15 (4). 66. ISSN 1556-4681

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Copyright, Publisher and Additional Information: © 2021 ACM. This is an author produced version of an article published in ACM Transactions on Knowledge Discovery from Data. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 18 April 2021
  • Accepted: 7 December 2020
  • Published (online): 18 April 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Dec 2020 11:21
Last Modified: 10 Jun 2021 15:42
Status: Published
Publisher: Association for Computing Machinery (ACM)
Identification Number: https://doi.org/10.1145/3441646

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