Synchronization of coupled logistic maps on random community networks

The collective synchronization of a system of coupled logistic maps on random community networks is investigated. It is found that the synchronizability of the community network is affected by two factors when the size of the network and the number of connections are fixed. One is the number of communities denoted by the parameter $m$, and the other is the ratio $\sigma$ of the connection probability $p$ of each pair of nodes within each community to the connection probability $q$ of each pair of nodes among different communities. Theoretical analysis and numerical results indicate that larger $m$ and smaller $\sigma$ are the key to the enhancement of network synchronizability. We also testify synchronous properties of the system by analysing the largest Lyapunov exponents of the system.