Social Network Formation Based on Inclusion
Posted: 2 Sep 2010
Date Written: May 26, 2008
Abstract
In this paper we propose a framework for the evolution of social networks based on a game theoretical model of inclusion. In this model, agents are involved in repeated interactions in the form of partnership games. Based on the results of their actions, they learn to include or exclude the others while simultaneously learn on their acts in the game. By introducing reinforcement learning for the evolution of inclusion we propose a tool for the study of the evolution of social networks. Using our model, we confirm the speculation that propensity based selective interaction instead of random encounters can foster political and social polarization.
Keywords: social networks, inclusion, ethnocentrism, xenophobia, reinforcement learning, polarization
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