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<dc:creator>Santos Martín, José Ignacio</dc:creator>
<dc:creator>Poza, David J.</dc:creator>
<dc:creator>Galán Ordax, José Manuel</dc:creator>
<dc:creator>López Paredes, Adolfo</dc:creator>
<dc:date>2012</dc:date>
<dc:description>The topology of interactions has been proved very influential in the results of models based on&#xd;
learning and evolutionary game theory. This paper is aimed at investigating the effect of structures&#xd;
ranging from regular ring lattices to random networks, including small-world networks, in a&#xd;
model focused on property distribution norms. The model considers a fixed and finite population&#xd;
of agents who play the Nash bargaining game repeatedly. Our results show that regular networks&#xd;
promote the emergence of the equity norm, while less-structured networks make possible the&#xd;
appearance of fractious regimes. Additionally, our analysis reveals that the speed of adoption can&#xd;
also be affected by the network structure</dc:description>
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<dc:identifier>http://hdl.handle.net/10259/3921</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Hindawi Publishing Corporation</dc:publisher>
<dc:title>Evolution of equity norms in small-world networks</dc:title>
<dc:type>info:eu-repo/semantics/article</dc:type>
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