Knowledge networks are important to understand learning in industry clusters but surprisingly little is known about what drives the formation, persistence and dissolution of ties. Applying stochastic actor-oriented models on longitudinal relational data from a mature cluster in a medium-tech...

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,...

The notion of "relativistic finance" became ingrained in the public imagination and has been asserted in many mass-media reports. However, despite an observed drive of the most reputable Wall Street firms to establish their servers ever closer to the trading hubs, there is surprisingly little...

Knowledge production and scientific research have become increasingly more collaborative and international, particularly in pharmaceuticals. We analyze international research networks on the country level in different disease groups. Our empirical analysis is based on a unique dataset of...

This article undertakes a critical review of existing spillover analyses and proposes a unique analytical framework for examining technological spillovers in a manufacturing industry setting. The proposed framework overlaps three different literature strands: cluster and network dynamics,...

This article provides an in-depth study of Canada's financial services sector policy network in light of the failed 2011 merger attempt between the London Stock Exchange and the Toronto Stock Exchange. The Canadian network is often presented as cohesive, yet the network was highly divided on the...

We engineer policies to stimulate technology development in a manufacturing industry using an agent-based model of value networks within a multi-region industry. Generally, industrial production is organized in value networks, where firms in upstream tiers supply components to firms in...

Although informal knowledge networks have often been regarded as a key ingredient behind the success of industrial clusters, the forces that shape their structure and dynamics remain largely unknown. Drawing on recent network dynamic models, we analyze the evolution of business and technical...

The evolution of unconditional cooperation is one of the fundamental problems in science. A new solution is proposed to solve this puzzle. We treat this issue with an evolutionary model in which agents play the Prisoner's Dilemma on signed networks. The topology is allowed to co-evolve with...

Longitudinal network data are increasingly available, allowing researchers to model how networks evolve over time and to make inference on their dependence structure. In this paper, a dynamic latent space approach is used to model directed networks of monthly interbank exposures. In this model,...