Opinion Dynamics and Communication Networks
This paper examines the interplay of opinion exchange dynamics and communication network formation. An opinion formation procedure is introduced which is based on an abstract representation of opinions as k-dimensional bitstrings. Individuals interact if the difference in the opinion strings is below a defined similarity threshold dI. Depending on dI, different behaviour of the population is observed: low values result in a state of highly fragmented opinions and higher values yield consensus. The first contribution of this research is to identify the values of parameters dI and k, such that the transition between fragmented opinions and homogeneity takes place. Then, we look at this transition from two perspectives: first by studying the group size distribution and second by analysing the communication network that is formed by the interactions that take place during the simulation. The emerging networks are classified by statistical means and we find that non-trivial social structures emerge from simple rules for individual communication.
|Date of creation:||Mar 2009|
|Date of revision:|
|Contact details of provider:|| Postal: Department of Economics, ISEG - School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL|
Web page: https://aquila1.iseg.ulisboa.pt/aquila/departamentos/EC
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- Galam, Serge, 2004. "The dynamics of minority opinions in democratic debate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(1), pages 56-62.
- F. Schweitzer & L. Behera, 2009. "Nonlinear voter models: the transition from invasion to coexistence," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 67(3), pages 301-318, February.
- Tanya Araujo & R. Vilela Mendes, 2007.
"Innovation Success and Structural Change: An Abstract Agent Based Study,"
- Tanya Araújo & Rui Vilela Mendes, 2007. "Innovation Success and Structural Change: An Abstract Agent Based Study," Working Papers Department of Economics 2007/25, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
- John Duffy, 2004.
"Agent-Based Models and Human Subject Experiments,"
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