Achieving consensus in spite of stubbornness: time-varying concatenated Friedkin-Johnsen models-Reference-Cited by-同舟云学术

Achieving consensus in spite of stubbornness: time-varying concatenated Friedkin-Johnsen models

Published:2021-12-14 Issue: Volume: Page:
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Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Wang L.¹,Bernardo C.²,Hong Y.³,Vasca F.²,Shi G.⁴,Altafini C.⁵

Affiliation:

1. Chinese Academy of Sciences, University of Chinese Academy of Sciences,Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science,Beijing,China,100190

2. University of Sannio,Group for Research on Automatic Control Engineering,Department of Engineering,Benevento,Italy,82100

3. Tongji University,Department of Control Science and Engineering,Shanghai,China,201804

4. The University of Sydney,Australian Center for Field Robotics, School of Aerospace, Mechanical and Mechatronic Engineering,NSW,Sydney,2008

5. Linköping University,Division of Automatic Control,Department of Electrical Engineering,Linköping,Sweden,SE-58183

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683466.pdf?arnumber=9683466

Reference22 articles.

1. Influence networks and opinion change;friedkin;Advances in Group Processes,1999

2. Opinion dynamics and bounded confidence models, analysis, and simulation;hegselmann;Journal of Artificial Societies and Social Simulation,2002

3. Convergence of Type-Symmetric and Cut-Balanced Consensus Seeking Systems

4. Opinion Dynamics and the Evolution of Social Power in Influence Networks

5. On the reflected appraisals dynamics of influence networks with stubborn agents

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