Massive Agent Based Simulation (MABS) is such that ABS is made a massive use of to reflect the characteristics of real socio-economic systems. However related studies have mainly focuses on platform/framework for large-scale simulation, not on how the number of agents affects simulation results. Therefore, we study the relationships between the number of agents and the collective behavior by incorporating Axelrod's Disseminating Culture Model into several representative social network models. As a result, we observe that quantitative change by increasing the number of agent.
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