Conformity biased transmission in social networks

摘要: In this paper we explore how the structure of a population can differentially influence spread novel behaviors, depending on learning strategy each individual. We use series simulations to analyze frequency dependent rules might affect easily behaviors through four artificial social networks, and three real networks. measured likelihood that behavior could population, there were multiple behavioral variants in measure cultural diversity. Surprisingly, find few differences between networks either measure. However, do where originated network have substantial impact it spreads, location effect depends an These results suggest for first-order analysis be ignored, but may useful more fine-tuned analyses predictions.