Emergence of Fame

“Small-memory-large-population” is quite common in many Complex Systems. In order to investigate the effect of small memory size compared to population size, a dynamic model is proposed in which an agent “learns” a new agent by means of recommendation. The agents can also “remember” and “forget” the agents that they know. The memory size is decreased while the population size is kept constant. “Fame” emerged as a few agents become very well known in expense of the majority being completely forgotten. The minimum and the maximum of fame change linearly with the relative memory size. The network properties of the who-knows-who graph, which represents the state of the system, is investigated.