Analysis for Fashion Emergence by Agent-Based Simulation

摘要

Latane insists consolidation in Dynamic Social Impact Theory (DSIT) which shows a majority increases in number as time. But fashion or innovations has a reverse process that a minority increases in number as times. This paper analyzes mechanism that the small fluctuation spreads to the whole system by taking notice of the behaviors of consumers. Our agent-based simulation assumes two types of agents by two tendencies i.e., pioneer and follower. Pioneers have lower thresholds than followers. Agents behave according to two kinds of information, i.e., local information and global information, which lead to the influences. When there are the small number of followers and initial adopters, a minority can expand. The behavior of agents shows an unexpected order. When there are enough pioneers, critical mass is created where the number of adopters expands explosively once it exceeds. The work of global information is to decrease the necessary number of pioneers to expand and makes pioneers spread a phenomenon to followers.