We survey and synthesize models of network formation based on random graphs and stochastic processes. We organize the material according to whether the population is treated as fixed or dynamic. We pay particular attention to the effects of homophilous linking on network structure. Finally, we discuss empirical and econometric issues based on stochastic network formation models
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
My thesis studies identification and estimation in network formation models. First, I study what can...
We survey and synthesize models of network formation based on random graphs and stochastic processes...
We examine the dynamic formation and stochastic evolution of networks connecting individuals. The pa...
This book supports researchers who need to generate random networks, or who are interested in the th...
<p>We consider a statistical model for directed network formation that features both node-specific p...
International audienceThis paper develops a framework for studying social network formation. Partly ...
We develop a new class of random-graph models for the statistical estimation of network formation th...
peer-reviewedNetworks are everywhere. From social networks to ecological networks, transportation n...
We develop a dynamic network formation model that can explain the observed nestedness in real-world ...
In this chapter, we discuss complex networks as a prime example where the ideas from complexity theo...
We are proposing in this work a novel approach for complex network analysis by introducing Stochasti...
This review of current research on networks emphasizes three strands of the literature on social net...
Abstract- We introduce a method by which stochastic processes are mapped onto complex networks. As e...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
My thesis studies identification and estimation in network formation models. First, I study what can...
We survey and synthesize models of network formation based on random graphs and stochastic processes...
We examine the dynamic formation and stochastic evolution of networks connecting individuals. The pa...
This book supports researchers who need to generate random networks, or who are interested in the th...
<p>We consider a statistical model for directed network formation that features both node-specific p...
International audienceThis paper develops a framework for studying social network formation. Partly ...
We develop a new class of random-graph models for the statistical estimation of network formation th...
peer-reviewedNetworks are everywhere. From social networks to ecological networks, transportation n...
We develop a dynamic network formation model that can explain the observed nestedness in real-world ...
In this chapter, we discuss complex networks as a prime example where the ideas from complexity theo...
We are proposing in this work a novel approach for complex network analysis by introducing Stochasti...
This review of current research on networks emphasizes three strands of the literature on social net...
Abstract- We introduce a method by which stochastic processes are mapped onto complex networks. As e...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
My thesis studies identification and estimation in network formation models. First, I study what can...