Networks, and the nodes within them, are often characterized using a series of metrics. Illustrative graph level metrics are the characteristic path length and the clustering co-efficient. Illustrative node level metrics are degree centrality, betweenness centrality, closeness centrality, and...

This chapter presents the terminology and concepts of graph theory, and describes basic matrix operations that are used in social network analysis. Both graph theory and matrix operations have served as the foundations of many concepts in the analysis of social networks (Hage and Harary 1983;...

This paper presents a modeling framework that delivers joint forecasts of indicators of systemic real risk and systemic financial risk, as well as stress-tests of these indicators as impulse responses to structural shocks identified by standard macroeconomic and banking theory. This framework is...