Bounded confidence model in complex networks
Konrad Felijakowski , Robert Kosiński
AbstractThis 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.
|Journal series||International Journal of Modern Physics C, ISSN 0129-1831|
|ASJC Classification||; ; ; ;|
|Score|| = 15.0, 16-09-2019, ArticleFromJournal|
= 25.0, 16-09-2019, ArticleFromJournal
|Publication indicators||= 5; : 2014 = 0.694; : 2013 = 1.125 (2) - 2013=0.949 (5)|
|Citation count*||3 (2016-03-06)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.