Considering baseline homophily when generating spatial social networks for agent-based modelling
Social networks have become an important part of agent-based models, and their structure may have remarkable impact on simulation results. We propose a simple and efficient but empirically based approach for spatial agent-based models which explicitly takes into account restrictions and opportunities imposed by effects of baseline homophily, i.e. the influence of local socio-demography on the composition of ones social network. Furthermore, the algorithm considers the probability of links that depends on geographical distance between potential partners.
spatial agent-based modelling empirical social networks network generator agent milieus