When an epidemic spreads in a population, individuals may adaptively change the structure of their social contact network in response. We study the spread of epidemics in an adaptive network with community structure. Community structure is a characteristic of social networks that has been neglected in previous adaptive network epidemic models. We model the effect of heterogeneous communities on...

In this paper, a multi-agent computational model is proposed to simulate the coevolution of social structure and compositional protolanguage from a holistic signaling system through iterative interactions within a heterogeneous population. We implement an indirect meaning transference based on both linguistic and nonlinguistic information in communications, together with a feedback without dire...

Social interactions vary in time and appear to be driven by intrinsic mechanisms, which in turn shape the emerging structure of the social network. Large-scale empirical observations of social interaction structure have become possible only recently, and modelling their dynamics is an actual challenge. Here we propose a temporal network model which builds on the framework of activitydriven time...

the aim of this paper is to investigate the effects of information and communication technology on the structure of social networks. three major questions have been considered. first, how far does the combination of adolescent social links tend to be heterogeneous and how much is this change related to social and technological factors? second, does this alternation affect the power of adolescen...

It is common for people to access multiple social networks, for example, using phone, email, and social media. Together, the multi-layer social interactions form a “integrated social network.” How can we extend well developed knowledge about single-layer networks, including vertex centrality and community structure, to such heterogeneous structures? In this paper, we approach these challenges b...