Abstract Motivated by an original financial network dataset, we develop a statistical methodology to study non-negatively weighted temporal networks. We focus on the characterization of how nodes (i.e. institutions) concentrate or diversify weights their connections exposures) among neighbors. The approach takes into account trends and nodes’ random effects. consider family nested models which ...