compute.adjacency.matrix is a function to compute the adjacency
matrix of a multiplex network provided as a
compute.adjacency.matrix(x,delta = 0.5)
A numeric value between 0 and 1. It sets the probability of performing inter-layer versus intra-layer transitions. It is set by default to 0.5. See more details below.
delta sets the probability to change between
layers at the next step. If delta = 0, the particle will always remain
in the same layer after a non-restart iteration. On the other hand, if
delta = 1, the particle will always change between layers, therefore
not following the specific edges of each layer.
A square sparse adjacency matrix created with the
Alberto Valdeolivas Urbelz email@example.com
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