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.
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Paper provided by Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon. in its series Working Papers with number
2009/16.
Length: Date of creation: Mar 2009 Date of revision: Handle: RePEc:ise:isegwp:wp162009
Contact details of provider: Postal: Department of Economics, School of Economics and Management (ISEG), Technical University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL Web page: http://www.iseg.utl.pt/departamentos/economia/
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