A Consensus Policy for Heterogeneous Opinion Dynamics
| Autor: | Raffaele Iervolino, Francesco Vasca, Domenico Tangredi |
|---|---|
| Přispěvatelé: | Iervolino, R., Vasca, F., Tangredi, D. |
| Rok vydání: | 2018 |
| Předmět: |
Opinion dynamic
0209 industrial biotechnology Mathematical optimization Computer science 02 engineering and technology Network topology 01 natural sciences Electronic mail 010305 fluids & plasmas 020901 industrial engineering & automation Emerging behavior Opinion dynamics 0103 physical sciences Confidence threshold Bounded confidence Homogeneous network Regression to the means Topology (chemistry) |
| Zdroj: | ISCAS |
| DOI: | 10.1109/iscas.2018.8351758 |
| Popis: | A typical emerging behavior in opinion dynamics is the convergence of all agents attitudes to a consensus. In homogeneous networks this situation is a 'regression to the mean' of the agents initial conditions. In the presence of heterogeneity more complex behaviors occur. In this paper a strategy for the convergence to a consensus in the bounded confidence Hegselmann-Krause model is proposed. The policy is based on variations of the agents confidence thresholds such that 'the richest looks for someone richer and the poorest for someone poorer'. Numerical results show the effectiveness of the proposed idea and the effects in the presence of stubborns. |
| Databáze: | OpenAIRE |
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