Leveraging percolation theory to single out influential spreaders in networks
Leveraging percolation theory to single out influential spreaders in networks
Among the consequences of the disordered interaction topology underlying many social, technological, and biological systems, a particularly important one is that some nodes, just because of their position in the network, may have a disproportionate effect on dynamical processes mediated by the complex interaction pattern. For example, the early adoption …