A symmetric network consists of a set of positions and a set of bilateral links between these positions. Examples of … symmetric network we define a cooperative transferable utility game that measures the power of each coalition of positions in … the network. Applying the Shapley value to this game yields a network power measure, the beta-measure, which reflects the …

In this paper we test the celebrated `Strength of weak ties' theory of Granovetter (1973). We test two hypotheses on … the network structure in a data set of collaborating economists. While we find support for the hypothesis of transitivity …

This paper empirically explores relations between network positions in knowledge networks andtrust. In social network … theory the closure argument and the gossip argument describe thisrelation. These two arguments do not distinguish between … abilities andtrust in intentions). The closure argument emphasizes that dense network structures enforceindividuals to be …

We present a multi-country theory of economic growth in which countries are connected by a network of mutual knowledge … industrial revolution. Knowledge diffusion through a Small World network produces an extraordinary diversity of individual growth …

knowledge production, where collaboration between researchers is represented by a bipartite network. The equilibrium of the game … analyzing the coauthorship network of economists registered in the RePEc Author Service. …

In this paper, we connect the social network theory on centrality measures to the economic theory of preferences and … different networks. The famous degree measure assigns to every position in a weighted network the sum of the weights of all … links with its neighbours. A crucial property of a preference relation over network positions is neutrality to ordinary risk …

We propose the dynamic network effect (DNE) model for the study of high-dimensional multivariate time series data … of latent stochastic network effects. The parameter-driven, nonlinear state-space model requires simulation …-section dimension is large and the network is dense. An empirical application on the spread of the COVID-19 pandemic through …

Longitudinal network data are increasingly available, allowing researchers to model how networks evolve over time and …