Driven by a range of modern applications that includes telecommunications, e-business and online social interaction, recent ideas in complex networks can be extended to the case of time-varying connectivity. Here, we propose a general framework for modelling and simulating such dynamic networks, and we explain how the long-time behaviour may reveal important information about the mechanisms underlying the evolution
Applications such as neuroscience, telecommunication, on-line so-cial networking, transport and reta...
We introduce a model of adaptive temporal networks whose evolution is regulated by an interplay betw...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Driven by a range of modern applications that includes telecommunications, e-business and online soc...
Driven by a range of modern applications that includes telecommunications, e-business and online soc...
Driven by a range of modern applications that includes telecommunications, e-business and on-line so...
This paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such f...
In most social and information systems the activity of agents generates rapidly evolving time-varyin...
Applications such as neuroscience, telecommunication, on-line social networking, transport and retai...
In most social and information systems the activity of agents generates rapidly evolving time-varyin...
We consider a class of complex networks whose nodes assume one of several possible states at any tim...
New technologies and the deployment of mobile and nomadic services are driving the emergence of comp...
Applications such as neuroscience, telecommunication, online social networking, transport and retai...
Applications such as neuroscience, telecommunication, on-line so-cial networking, transport and reta...
We introduce a model of adaptive temporal networks whose evolution is regulated by an interplay betw...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Driven by a range of modern applications that includes telecommunications, e-business and online soc...
Driven by a range of modern applications that includes telecommunications, e-business and online soc...
Driven by a range of modern applications that includes telecommunications, e-business and on-line so...
This paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such f...
In most social and information systems the activity of agents generates rapidly evolving time-varyin...
Applications such as neuroscience, telecommunication, on-line social networking, transport and retai...
In most social and information systems the activity of agents generates rapidly evolving time-varyin...
We consider a class of complex networks whose nodes assume one of several possible states at any tim...
New technologies and the deployment of mobile and nomadic services are driving the emergence of comp...
Applications such as neuroscience, telecommunication, online social networking, transport and retai...
Applications such as neuroscience, telecommunication, on-line so-cial networking, transport and reta...
We introduce a model of adaptive temporal networks whose evolution is regulated by an interplay betw...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...