We develop a dynamic network formation model that can explain the observed nestedness in real-world networks. Links are formed on the basis of agents ’ cen-trality and have an exponentially distributed lifetime. We use stochastic stability to identify the networks to which the network formation process converges and find that they are nested split graphs. We completely determine the topological properties of the stochastically stable networks and show that they match fea-tures exhibited by real-world networks. Using four different network data sets, we empirically test our model and show that it fits well the observed networks
Modularity structures are common in various social and biological networks. However, its dynamical o...
Networks such as organizational network of a global company play an important role in a variety of k...
We study evolutionary games in real social networks, with a focus on coordination games. We find tha...
We develop a dynamic network formation model that can explain the observed nestedness in real-world ...
We develop a dynamic network formation model that can explain the observed nestedness in real-world ...
Jackson and Watts [J. of Econ. Theory 71 (2002), 44-74] have examined the dynamic formation and stoc...
formation and stochastic evolution of networks. We provide a refinement of pairwise stability, p−pai...
My thesis studies identification and estimation in network formation models. First, I study what can...
In the traditional framework of the network formation model, the set of agents is assumed to be fixe...
We survey and synthesize models of network formation based on random graphs and stochastic processes...
This paper considers a simple communication network characterized by an endogenous architecture and ...
Understanding the causes and effects of network structural features is a key task in deciphering com...
https://link.springer.com/book/10.1007/b138885In this paper, we present a model of ‘collective innov...
The observed architecture of ecological and socio-economic networks differssignificantly from that o...
We develop a new class of random-graph models for the statistical estimation of network formation th...
Modularity structures are common in various social and biological networks. However, its dynamical o...
Networks such as organizational network of a global company play an important role in a variety of k...
We study evolutionary games in real social networks, with a focus on coordination games. We find tha...
We develop a dynamic network formation model that can explain the observed nestedness in real-world ...
We develop a dynamic network formation model that can explain the observed nestedness in real-world ...
Jackson and Watts [J. of Econ. Theory 71 (2002), 44-74] have examined the dynamic formation and stoc...
formation and stochastic evolution of networks. We provide a refinement of pairwise stability, p−pai...
My thesis studies identification and estimation in network formation models. First, I study what can...
In the traditional framework of the network formation model, the set of agents is assumed to be fixe...
We survey and synthesize models of network formation based on random graphs and stochastic processes...
This paper considers a simple communication network characterized by an endogenous architecture and ...
Understanding the causes and effects of network structural features is a key task in deciphering com...
https://link.springer.com/book/10.1007/b138885In this paper, we present a model of ‘collective innov...
The observed architecture of ecological and socio-economic networks differssignificantly from that o...
We develop a new class of random-graph models for the statistical estimation of network formation th...
Modularity structures are common in various social and biological networks. However, its dynamical o...
Networks such as organizational network of a global company play an important role in a variety of k...
We study evolutionary games in real social networks, with a focus on coordination games. We find tha...