Strategic tradeoffs in competitor dynamics on adaptive networks
Hébert-Dufresne, Laurent (Institute for Disease Modeling)
Allard, Antoine (Centre de Recerca Matemàtica)
Noël, Pierre-André (University of California)
Young, Jean-Gabriel (Université Laval)
Libby, Eric (Santa Fe Institute)

Fecha:	2017
Resumen:	Recent empirical work highlights the heterogeneity of social competitions such as political campaigns: proponents of some ideologies seek debate and conversation, others create echo chambers. While symmetric and static network structure is typically used as a substrate to study such competitor dynamics, network structure can instead be interpreted as a signature of the competitor strategies, yielding competition dynamics on adaptive networks. Here we demonstrate that tradeoffs between aggressiveness and defensiveness (i. e. , targeting adversaries vs. targeting like-minded individuals) creates paradoxical behaviour such as non-transitive dynamics. And while there is an optimal strategy in a two competitor system, three competitor systems have no such solution; the introduction of extreme strategies can easily affect the outcome of a competition, even if the extreme strategies have no chance of winning. Not only are these results reminiscent of classic paradoxical results from evolutionary game theory, but the structure of social networks created by our model can be mapped to particular forms of payoff matrices. Consequently, social structure can act as a measurable metric for social games which in turn allows us to provide a game theoretical perspective on online political debates.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Publicado en:	Scientific reports, Vol. 7 (August 2017) , art. 7576, ISSN 2045-2322

DOI: 10.1038/s41598-017-07621-x
PMID: 28790343

11 p, 2.6 MB

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