Most of the empirical and theoretical literature aimed at understanding the behavioral patterns that lead to the formation of social networks argue that such networks are clustered because agents like social closure, since it facilitates cooperation enforcement, for instance, or increases match...

This paper proposes a bayesian methodology to treat the who's who problem arising in individual level data sets such as patent data. We assess the usefullness of this methodology on the set of all French inventors appearing on EPO applications from 1978 to 2003.

This paper aims to demonstrate that the strategic approach to link formation can generate networks that share some of the main structural properties of most real social networks. For this purpose, we introduce a spatialized variation of the Connections model [Jackson, M.O., Wolinsky, A., 1996. A...

This paper develops a framework for studying social network formation. Partly built upon a formalism used in theoretical economics, the network formation process we introduce is locally driven by agents who maximize a given individual payoff function. We examine two simple models and observe the...

This paper contributes to an emerging literature aiming to understand the behavioral patterns that lead to the formation of social networks. We introduce a strategic model of inter-individual collaborations formation which is a variation of the Connections model. Heterogeneous agents benefit...

In this paper, we make an exploratory use of computational techniques (genetic algorithms and Monte Carlo simulations) to compute efficient and emergent networks in a spatialized version of the connections model of Jackson and Wolinski [Jackson, M.O., Wolinski, A., 1996. A strategic model of...