BOUNDED CONFIDENCE MODEL IN COMPLEX NETWORKS

K. Felijakowski () and R. Kosinski
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K. Felijakowski: Faculty of Physics, Warsaw University of Technology, Koszykowa 75, Warsaw 00-662, Poland
R. Kosinski: Faculty of Physics, Warsaw University of Technology, Koszykowa 75, Warsaw 00-662, Poland;

International Journal of Modern Physics C (IJMPC), 2013, vol. 24, issue 08, 1-12

Abstract: This paper presents a study of the bounded confidence model applied to the complex networks. Two different cases were examined: opinion formation process in the Barabási–Albert network and corruption spreading in a hierarchical network. For both cases, the value of the bounded confidence parameter ε was assumed as a constant, or its value was dependent on the degree of a node in the network. To measure the opinion formation and corruption spreading processes, we introduced the order parameter related to the number of interfaces in the system. As a results of numerical simulations, the influence of the values of ε on the final opinions in the population, as well as, the influence of an initial source of corruption in the company structure on the corruption spreading process, were obtained and discussed.

Keywords: Opinion dynamics; bounded confidence; corruption; complex networks; 11.25.Hf; 123.1K (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1142/S0129183113500496

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