Evolution of cooperation on independent networks: The influence of asymmetric information sharing updating mechanism

In realistic social systems, there exists multiple networks which are influenced by each other with different level of impacts. Inspired by this, we thus study the evolution of public cooperation on two interdependent networks that are connected by means of an asymmetric information sharing updating function, which can construct the interdependent networks in two different classes in order to simulate asymmetric influence of multiple networks which exist in from bacteria to animals as well as human societies. Interestingly, we find that interdependence by means of asymmetric information sharing function can dramatically promote the evolution of cooperation by restraining negative feed-back effect to provide a better environment for cooperators to mushroom. The result shows that the stronger the level of asymmetry, the higher the level of cooperation. And we further inquiry why this asymmetric information sharing updating mechanism can strikingly promote the cooperation in the upper network and find that the value of combined Fermi-Dirac Function of defector in the upper network is relatively larger than the original Fermi-Dirac Function, which can eventually lead to the fraction of cooperation to one in the upper network. Our work can reveal some essential principles in asymmetric interdependent networks that ubiquitously exists in biological and human social systems. (C) 2018 Published by Elsevier Inc.