Characterizing complicated behavior from time series constitutes a fundamental problem of
continuing interest and it has attracted a great deal of attention from a wide variety of fields …

Community structure plays a crucial role in realistic networks and different communities can
be created by groups of interest and activity events, and exploring the impact of community …

The exploration of two-phase flows, as a multidisciplinary subject, has drawn a great deal of
attention on account of its significance. The dynamical flow behaviors underlying the …

Real networks usually exhibit community structure characteristics, and communities have
heterogeneity. In this paper, we construct a community network model with different average …

This paper investigates the effects of the community structure of a network on the spread of
an epidemic. To this end, we first establish a susceptible–infected–recovered (SIR) model in …

The enterprise social media and the offline social network are the two main routes to
disseminate the knowledge among employees in the enterprise. In this study, we propose …

A large number of real world networks exhibit community structure, and different
communities may often possess heterogeneity. In this paper, considering the heterogeneity …

Exactly what is meant by a 'complex'network is not clear; however, what is clear is that it is
something other than a random graph. Complex networks arise in a wide range of real …

The present chapter is devoted to review some literatures on the modeling infectious
disease on complex networks. From the following several aspects we give a brief summary …

Community structures in complex networks play an important role in researching network
function. Although there are various algorithms based on affinity or similarity, their …