New concept to improve cooperation in dynamic complex network.

Abstract In this study, we use a new method to improve the cooperation among agents in dynamic complex networks with source exchanging environments. As we know, in real life if we want to complete a task, cooperating with others will be better. The more resources partners have, the higher their effectiveness will be. Working with a strong man could help us progress faster, so do agents. Inspired by this, we first find a set of "strongers" agents in a complex network and establish allocations to improve cooperation. We then provide the experiment results and related analysis. [ABSTRACT FROM AUTHOR]