Bounded confidence model in complex networks

Konrad Felijakowski , Robert Kosiński


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. © 2013 World Scientific Publishing Company.
Author Konrad Felijakowski (FP / PCSD)
Konrad Felijakowski,,
- Physics of Complex Systems Divison
, Robert Kosiński (FP / PCSD)
Robert Kosiński,,
- Physics of Complex Systems Divison
Journal seriesInternational Journal of Modern Physics C, ISSN 0129-1831
Issue year2013
ASJC Classification1703 Computational Theory and Mathematics; 1706 Computer Science Applications; 3100 General Physics and Astronomy; 2610 Mathematical Physics; 3109 Statistical and Nonlinear Physics
Score (nominal)25
ScoreMinisterial score = 15.0, 16-09-2019, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 16-09-2019, ArticleFromJournal
Publication indicators WoS Citations = 5; Scopus SNIP (Source Normalised Impact per Paper): 2014 = 0.694; WoS Impact Factor: 2013 = 1.125 (2) - 2013=0.949 (5)
Citation count*3 (2016-03-06)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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