Fig. 2
From: A novel framework for community modeling and characterization in directed temporal networks
Schematic of the mechanism governing a rADN model. Node \(i\in \mathcal {V}\) activates with rate ai. Then, with probability λi it generates a connection due the community-based mechanism, i.e., following the probabilities in the community matrix C. Otherwise, with probability 1−λi, the link is caused by the backbone in matrix R. These mechanisms yield the corresponding link activation rates in matrix A