Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation-Reference-Cited by-同舟云学术

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Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation

Published:2023-12 Issue: Volume:233 Page:120927
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Sun Zejun^ORCID,Sun Yanan,Chang Xinfeng,Wang Feifei,Wang Qiming,Ullah Aman,Shao Junming^ORCID

Funder

Science and Technology Department of Henan Province

Key Scientific Research Project of Colleges and Universities in Henan Province

Henan Provincial Science and Technology Research Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference37 articles.

1. Adebayo, I. G., & Sun, Y. (2019). A Novel Approach for the Identification of Influential Node in an Electric Power Grid. In 2019 14th IEEE conference on industrial electronics and applications (pp. 718–723).

2. Analysis of online social network connections for identification of influential users: Survey and open research issues;Al-Garadi;ACM Computing Surveys,2018

3. Identifying and ranking influential spreaders in complex networks by neighborhood coreness;Bae;Physica A: Statistical Mechanics and its Applications,2014

4. NodeRank: Finding influential nodes in social networks based on interests;Bahutair;The Journal of Supercomputing,2022

5. Factoring and weighting approaches to status scores and clique identification;Bonacich;The Journal of Mathematical Sociology,1972

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3. A new semi-local centrality for identifying influential nodes based on local average shortest path with extended neighborhood;Artificial Intelligence Review;2024-04-13

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