Figure 1
From: Asymmetrically interacting spreading dynamics on complex layered networks
Illustration of asymmetrically coupled spreading processes on a simulated communication-contact double-layer network.
(a) Communication and contact networks, denoted as layer A and layer B, respectively, each of five nodes. (b) At t = 0, node B1 in layer B is randomly selected as the initial infected node and its counterpart, node A1 in layer A, gains the information that B1 is infected, while all other pairs of nodes, one from layer A and another from layer B, are in the susceptible state. (c) At t = 1, within layer A the information is transmitted from A1 to A2 with probability βA. Node B3 in layer B can be infected by node B1 with probability βB and, if it is indeed infected, its corresponding node A3 in layer A gets the information as well. Since, by this time, A2 is already aware of the infection spreading, its counterpart B2 in layer B is vaccinated, say with probability p. At the same time, node A1 in layer A and its counterpart B1 in layer B enter into the refractory state with probability µA and µB, respectively. (d) At t = 2, all infected (or informed) nodes in both layers can no longer infect others and start recovering from the infection. In both layers, the spreading dynamics terminate by this time.
