The communities in a network have distinct characteristics and interrelationships. Community discovery methods based on … handling high-dimensional network data. Community detection in graph networks using graph neural networks (GNNs) is a rapidly … expanding field of study that has attracted much attention recently. Inspired by the graph convolutional network (GCN) approach …

We report the findings of experiments designed to study how people learn in network games. Network games offer new … find that learning depends on network position. Participants in more complex environments (with more network neighbors …) tend to resort to simpler rules compared to those with only one network neighbor. …

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 …

This paper applies for the first time power index analysis to the famous Krackhardt’s kite social network by imposing a … weighted voting game on the given network structure. It compares the results of this analysis, derived by applying the Public … traditional centrality measures are rather a first approximation for evaluating the power in a network as they considerably …