In the presence of dispersed information, agents may decide to take into account the actions of other agents because of the possible additional information conveyed by these actions. We call the act of using other agents' actions in the individual decision process social learning. This paper...

We analyze R&D collaboration networks in industries where firms are competitors in the product market. Firms' benefits from collaborations arise by sharing knowledge about a cost-reducing technology. By forming collaborations, however, firms also change their own competitive position in the...

Policy makers spend large amounts of public resources on the foundation of science parks and other forms of geographically clustered business activities, in order to stimulate regional innovation. Underlying the relation between clusters and innovation is the assumption that co-located firms...

In this explorative study, we adopt a knowledge-centred perspective on clusters and investigate whether clusters' internal structure explains clusters' external (knowledge) collaborative strategies. All in all, the main analytical issue underlying this paper is the following: do internal...

We build a search-and-matching algorithm of network dynamics with decision-making under incomplete information, seeking to understand the determinants of the observed gradual downgrading of expert opinion on complicated issues and the decreasing trust in science. Even without fake news,...

This paper studies fictitious play in networks of noncooperative two-person games. We show that continuous-time fictitious play converges to the set of Nash equilibria if the overall n-person game is zero-sum. Moreover, the rate of convergence is 1/T, regardless of the size of the network. In...

This paper characterizes the optimal advertising strategy of candidates in an election campaign, where groups of heterogeneous voters are targeted through media outlets. We discuss its effects on the implemented policy and relate it to the well-documented increase in polarization. Additionally,...

We study lobbying in a setting in which decision-makers share resources in a network. Two opposing interest groups choose which decision-maker they want to target with their resource provision, and their decision depends on the decision-makers' ideologies as well as the network structure. We...

We propose a novel model of knowledge discovery shedding light on the emergence of General Purpose Technologies (GPTs), the process which has been largely neglected in the literature on technological change. We demonstrate that GPTs emerge only when certain conditions with regard to the...

This paper investigates opinion dynamics and social influence in directed communication networks. We study the theoretical properties of a boundedly rational model of opinion formation in which individuals aggregate the information they receive from their neighbors by using weights that are a...