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Mobility and social network effects on extremist opinions
1GRIFE-EACH, Universidade de São Paulo, Av. Arlindo Bétio, 1000, 03828-080 São Paulo, Brazil. amartins@usp.br
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2008
Summary
Extreme opinions emerge widely in social networks. While network structures can reduce extremism, agents changing positions significantly decreases the number of extremists observed in the model.
Area of Science:
- Social network analysis
- Opinion dynamics modeling
- Computational social science
Background:
- Understanding the formation and persistence of extreme opinions is crucial in contemporary society.
- Existing models often struggle to quantify extreme opinions and their environmental influences.
- The proposed Continuous Opinions and Discrete Actions (CODA) model offers a novel approach.
Purpose of the Study:
- To investigate the emergence of extreme opinions within the CODA model across various social network structures.
- To identify network characteristics that may mitigate opinion extremism.
- To explore strategies for reducing the prevalence of extreme viewpoints.
Main Methods:
- Simulation of opinion dynamics using the CODA model.
- Analysis of opinion extremism across diverse network topologies.
- Evaluation of the impact of agent mobility on opinion distribution.
Main Results:
- Extreme opinions arise ubiquitously in the CODA model regardless of network structure.
- Network specifics can influence the degree of extremism, but a substantial number of extremists persist.
- Allowing agents to change their network positions leads to a significant reduction in observed extremists.
Conclusions:
- The CODA model demonstrates the pervasive nature of extreme opinions in social networks.
- While network structure plays a role, agent mobility is a key factor in mitigating extremism.
- Further research into agent behavior and network adaptation is warranted to combat societal polarization.
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