Consensus Convergence Speed in Social Network DeGroot Model: The Effects of the Agents With High Self-Confidence Levels-Reference-Cited by-同舟云学术

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Consensus Convergence Speed in Social Network DeGroot Model: The Effects of the Agents With High Self-Confidence Levels

Published:2022 Issue: Volume: Page:1-11
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Ding Zhaogang¹^ORCID,Chen Xia²^ORCID,Dong Yucheng²^ORCID,Yu Shui³^ORCID,Herrera Francisco⁴^ORCID

Affiliation:

1. School of Public Management (Emergency Management), Northwest University, Xi’an, China

2. Business School, Sichuan University, Chengdu, China

3. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

4. Andalusian Research Institute on Data Science and Computational Intelligence, University of Granada, Granada, Spain

Funder

NSF of China

Sichuan University

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/09877881.pdf?arnumber=9877881

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