The observation of tolerance in social network models

This paper defines the phenomenon of tolerance in social network models, focusing on the HRN and HWR rules. We will seek to develop a mathematical model for tolerance and thus clearly define the factors that contribute toward tolerance in agents. Several experiments will be run on social network models to support the models developed for tolerance. Once the proposed models have been confirmed, we will explore other facets of tolerance, focusing on the question of whether an “optimal tolerance” exists and, if so, under what conditions. The mathematical definitions of tolerance are very specific to the model used and how agents make decisions, so we seek to generalize tolerance for as many social networks as possible, examining other social network models which have this phenomenon, although the HRN and HWR models will be the primary domain of the experiments. Tolerance of other agents is an intuitive human behavior, and its presence in social network models suggests that the development of social interaction rules among agents show qualities of human interaction that exist in real life.