SIMULATION OF CONSENSUS MODEL OF DEFFUANT et al. ON A BARABÁSI–ALBERT NETWORK-Reference-Cited by-同舟云学术

SIMULATION OF CONSENSUS MODEL OF DEFFUANT et al. ON A BARABÁSI–ALBERT NETWORK

Published:2004-02 Issue:02 Volume:15 Page:241-246
ISSN:0129-1831
Container-title:International Journal of Modern Physics C
language:en
Short-container-title:Int. J. Mod. Phys. C

Author:

STAUFFER D.¹²,MEYER-ORTMANNS H.¹³

Affiliation:

1. Laboratoire PMMH, Ecole Supérieure de Physique et Chimie Industrielle, 10 rue Vauquelin, F-75231 Paris, France

2. Institute for Theoretical Physics, Cologne University, D-50923 Köln, Euroland, Germany

3. School of Engineering and Science, International University Bremen, P. O. Box 750561, D-28725 Bremen, Germany

Abstract

In the consensus model with bounded confidence, studied by Deffuant et al. (2000), two randomly selected people who differ not too much in their opinion both shift their opinions towards each other. Now we restrict this exchange of information to people connected by a scale-free network. As a result, the number of different final opinions (when no complete consensus is formed) is proportional to the number of people.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0129183104005644

Reference8 articles.

1. The Dissemination of Culture

2. Evolution, Money, War, and Computers

Cited by 75 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Agents of Discord: Modeling the Impact of Political Bots on Opinion Polarization in Social Networks;Social Science Computer Review;2024-08-16

2. Complex Transitions of the Bounded Confidence Model from an Odd Number of Clusters to the Next;Physics;2024-05-08

3. On evolving network models and their influence on opinion formation;Physica D: Nonlinear Phenomena;2023-12

4. Generation and influence of eccentric ideas on social networks;Scientific Reports;2023-11-22

5. Network comparison via encoding, decoding, and causality;Physical Review Research;2023-08-24