In this paper, we first point out the limitations of the classic epidemic spreading model SIR in
representing rumor spreading processes, and then identify the effect of public opinions in …

This paper studies the endemic behavior of a multi-competitive networked susceptible-
infected-susceptible (SIS) model. Specifically, the paper deals with three competing virus …

This paper proposes a novel graph structure to address the problems of information
spreading in a real-world, frequently updating graph, with two main contributions at hand …

Social networks are a growing phenomenon in today's Internet media consumption. Social
networks are used to not only stay in touch with friends and family, but also to seek and …

Contagions (eg virus and gossip) spread over the nodes in propagation graphs. We can use
temporal-textual contents of nodes to compute the edge weights and generate subgraphs …

This paper proposes a discrete-time distributed algorithm based on a local replicator
dynamics that allows a group of nodes to achieve virus mitigation over a connected graph …

Epidemic dynamics is often subject to environmental noise and uncertainty. In this paper, we
investigate the effect of color noise on the spread of epidemic in complex networks, which is …

The paper studies the problem of the spread of multi-competitive viruses across a (time-
varying) population network and an infrastructure network. To this end, we devise a variant …

Understanding the interplay between human behavioral phenomena and infectious disease
dynamics has been one of the central challenges of mathematical epidemiology. However …

This work examines a discrete-time networked SIR (susceptible-infected-recovered)
epidemic model, where the infection, graph, and recovery parameters may be time-varying …