Network structure indexes to forecast epidemic spreading in real-world complex networks

Epidemic Spreading and Complex Networks

Epidemic spreading in correlated complex networks.

We study a dynamical model of epidemic spreading on complex networks in which there are explicit correlations among the node's connectivities. For the case of Markovian complex networks, showing only correlations between pairs of nodes, we find an epidemic threshold inversely proportional to the largest eigenvalue of the connectivity matrix that gives the average number of links, which from a n...

Cooperative Epidemic Spreading in Complex Networks

Most epidemic spreading models assume memoryless systems and statistically independent infections. Nevertheless, many real-life cases are manifestly time-sensitive and may be strongly correlated. We study the effect of non-Markovian stochastic dynamics on the SIS model, in random and scale-free networks, and propose a novel microscopic description to account for cooperation. Initial exploratory...

Epidemic Spreading on Weighted Complex Networks

Nowadays, the emergence of online services provides various multi-relation information to support the comprehensive understanding of the epidemic spreading process. In this Letter, we consider the edge weights to represent such multi-role relations. In addition, we perform detailed analysis of two representative metrics, outbreak threshold and epidemic prevalence, on SIS and SIR models. Both th...

Steady States of Epidemic Spreading in Small-World Networks

We consider a standard susceptible-infected-susceptible (SIS) model to study behaviors of steady states of epidemic spreading in smallworld networks. Using analytical methods and large scale simulations, we recover the usual epidemic behavior with a critical threshold λc below which infectious diseases die out. Whereas for the spreading rate λ far above λc, it was found that the density of infe...