Multidimensional Consensus model on a Barabasi-Albert network
arXiv:cond-mat/0411350 · doi:10.1142/S0129183105007388
Abstract
A Consensus Model according to Deffuant on a directed Barabasi-Albert network was simulated. Agents have opinions on different subjects. A multi-component subject vector was used. The opinions are discrete. The analysis regards distribution and clusters of agents which are on agreement in the opinions of the subjects. Remarkable results are on the one hand, that there mostly exists no absolute consens. It determines depending on the ratio of number of agents to the number of subjects, whether the communication ends in a consens or a pluralism. Mostly a second robust cluster remains, in its size depending on the number of subjects. Two agents agree either in (nearly) all or (nearly) no subject. The operative parameter of the consens-formating-process is the tolerance in change of views of the group-members.
14 pages including all 10 figures, for IJMPC 16, issue 4
References in corpus (1)
Cited by in corpus (12)
- Continuous Opinion Dynamics under Bounded Confidence: A Survey
- Vector Opinion Dynamics in a Bounded Confidence Consensus Model
- A Biased Review of Sociophysics
- Microscopic and Macroscopic Simulation of Competition between Languages
- Effects of Mass Media action on the Axelrod Model with Social Influence
- Continuous opinion model in small world directed networks
- Modeling Social Dynamics in a Collaborative Environment
- Focusing of opinions in the Deffuant model: First impression counts
- Dynamical phase transitions in Hegselmann-Krause model of opinion dynamics and consensus
- Structural tendencies - Effects of adaptive evolution of complex (chaotic) systems
- Opinion Dynamics with Continuous Age Structure
- Modified Axelrod Model Showing Opinion Convergence And Polarization In Realistic Scale-Free Networks