Self-organized game dynamics in complex networks

Complex networks are ubiquitous and known to pro-foundly affect the processes that take place on them. From a theoretical perspective, some of the most complex pro-cesses studied to date, occurring on complex networks, are related with behavioural dynamics and decision-making, of-ten described by means of social dilemmas of cooperation. Among these, the Prisoner’s Dilemma (PD) provides the most popular metaphor of such dilemmas, given that its only Nash equilibrium is mutual defection, despite mutual coop-eration providing higher returns – thus the dilemma. We may also assume a population dynamics (evolutionary) ap-proach to game theory where agents revise their behaviour based on the perceived success of others, creating a gradient of selection which dictates how cooperation self-organizes through time. Evolutionary Games provide one of the mos