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Fig. 2 | Applied Network Science

Fig. 2

From: A novel framework for community modeling and characterization in directed temporal networks

Fig. 2

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

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