Towards identifying influential nodes in complex networks using semi-local centrality metrics-Reference-Cited by-同舟云学术

Towards identifying influential nodes in complex networks using semi-local centrality metrics

Published:2023-12 Issue:10 Volume:35 Page:101798
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Zhang Kun,Zhou Yu,Long Haixia,Wang Chaoyang,Hong Haizhuang,Armaghan Seyed Mostafa

Publisher

Elsevier BV

Subject

General Computer Science

Reference56 articles.

1. Geodesic based centrality: unifying the local and the global;Agneessens;Soc. Networks,2017

2. A preference random walk algorithm for link prediction through mutual influence nodes in complex networks;Berahmand;J. King Saud Univ.-Computer Information Sci.,2022

3. A new evidential methodology of identifying influential nodes in complex networks;Bian;Chaos Solitons Fractals,2017

4. Identifying influential nodes in complex networks based on AHP;Bian;Physica A,2017

5. Factoring and weighting approaches to status scores and clique identification;Bonacich;J. Math. Sociol.,1972

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