Autor(es):
Banisch, Sven 
; Araújo, Tanya ; Louçã, Jorge
Data: 2009
Identificador Persistente: http://hdl.handle.net/10400.5/2695
Origem: Repositório da UTL
Detalhes do Documento
Opinion dynamics and communication networks
Descrição
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 bit-strings. 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 classi ed by statistical means and we find that non-trivial social structures emerge from simple rules for individual communication.
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 bit-strings. 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 classi ed by statistical means and we find that non-trivial social structures emerge from simple rules for individual communication.
Tipo de Documento
Outro
Idioma Inglês
Idioma Inglês
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