Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 games used by Selten and Chmura (2008) and in the comment by Brunner, Camerer and Goeree (2009). Every participant played against four neighbors and could choose a different...

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 games used by Selten and Chmura (2008) and in the comment by Brunner, Camerer and Goeree (2009). Every participant played against four neighbors and could choose a different...

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 games used by Selten and Chmura (2008). Every participant played against four neighbors and could choose a different strategy against each of them. The games were played in two...

This paper develops a framework for the analysis of information acquisition and exchange in social networks. In the static model, there is a symmetric Bayes-Nash Equilibrium where all players use a simple cut-off strategy involving the threshold degree. The inefficiency of information...

This paper analyses a simultaneous game of network formation and information acquisition where the benefit structure is such that the benefit that an agent derives from the network she is located in depends on the maximum information that someone in her neighbourhood, including herself,...

We investigate how the selection process of a leader affects team performance with respect to social learning. We use a lab experiment in which an incentivized guessing task is repeated in a star network with the leader at the center. Leader selection is either based on competence, on...

We investigate how the selection process of a leader affects team performance with respect to social learning. We use a lab experiment in which an incentivized guessing task is repeated in a star network with the leader at the center. Leader selection is either based on competence, on...

This paper presents a non-Bayesian model of social learning in networks in an environment with a finite set of actions. We conduct a laboratory experiment in which participants play an urn-guessing game over several decision rounds while observing the previous choices of the network members to...

This paper introduces a new mechanism through which positive externality spills over in a network. We find that the introduction of the new spillover mechanism plays a major role in reducing the set of Nash equilibrium though at the same time it increases the set of stable equilibria in a...

We investigate how the selection process of a leader affects team performance with respect to social learning. We use a lab experiment in which an incentivized guessing task is repeated in a star network with the leader at the center. Leader selection is either based on competence, on...