We examine the marriage of recent probabilistic generative models for social networks with classical frameworks from mathematical eco-nomics. We are particularly interested in how the statistical structure of such networks inuences global economic quantities such as price vari-ation. Our ndings are a mixture of formal analysis, simulation, and experiments on an international trade data set from the United Nations.
Due to advancements in physics and computer science, networks have becoming increasingly applied to ...
This chapter aims at reviewing complex networks models and methods that were either developed for or...
Jan Tinbergen, the first recipient of the Nobel Memorial Prize in Economics in 1969, obtained his Ph...
We examine the marriage of recent probabilistic generative models for social networks with classical...
We examine the marriage of recent probabilistic generative models for social networks with classical...
The science of social networks is a central \u85eld of sociological study, a major appli-cation of r...
In Chapter 1 We present the mathematical and theoretical framework to define a universally renormali...
The science of social networks is a central field of sociological study, a major application of rand...
In 1977, Freeman formalised generic measures of Social Networks Analysis (SNA). Then, the Web "2.0" ...
This eclectic review of current research on networks emphasizes three strands of the lit-erature on ...
International audienceThis paper develops a framework for studying social network formation. Partly ...
Modeling the evolution of networks is central to our understanding of large communication systems, a...
International audienceIn 1977, Freeman formalised generic measures of Social Networks Analysis (SNA)...
Networks play an important role in a wide range of economic phenomena. Despite this fact, standard e...
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
Due to advancements in physics and computer science, networks have becoming increasingly applied to ...
This chapter aims at reviewing complex networks models and methods that were either developed for or...
Jan Tinbergen, the first recipient of the Nobel Memorial Prize in Economics in 1969, obtained his Ph...
We examine the marriage of recent probabilistic generative models for social networks with classical...
We examine the marriage of recent probabilistic generative models for social networks with classical...
The science of social networks is a central \u85eld of sociological study, a major appli-cation of r...
In Chapter 1 We present the mathematical and theoretical framework to define a universally renormali...
The science of social networks is a central field of sociological study, a major application of rand...
In 1977, Freeman formalised generic measures of Social Networks Analysis (SNA). Then, the Web "2.0" ...
This eclectic review of current research on networks emphasizes three strands of the lit-erature on ...
International audienceThis paper develops a framework for studying social network formation. Partly ...
Modeling the evolution of networks is central to our understanding of large communication systems, a...
International audienceIn 1977, Freeman formalised generic measures of Social Networks Analysis (SNA)...
Networks play an important role in a wide range of economic phenomena. Despite this fact, standard e...
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
Due to advancements in physics and computer science, networks have becoming increasingly applied to ...
This chapter aims at reviewing complex networks models and methods that were either developed for or...
Jan Tinbergen, the first recipient of the Nobel Memorial Prize in Economics in 1969, obtained his Ph...