Analysis of epidemic spreading process in multi-communities

Abstract

a b s t r a c tIn practice, an epidemic might be spreading among multi-communities; while the communities are usually intra-connected. In this manuscript, each community is modeled as a multiplex network (i.e., virtual layer and physical one). The connections inside certain community are referred as inter-contacts while the intra-contacts denote the connections among communities. For the epidemic spreading process, the traditional susceptible-infected-recovered (SIR) model is adopted. Then, corresponding state transition trees are determined and simulations are conducted to study the epidemic spreading process in multicommunities. Here, the effect of incorporating virtual layer on the range of individual affected by the epidemic is pursued. As illustrated, multi-summits are incurred if the spreading in multi-communities is considered; furthermore, the disparity between summits varies. This is affected by various factors. As indicated, the incorporation of virtual layer is capable of reducing the proportion of individuals being affected; moreover, disparity of different summits is likely to be increased regarding with scenarios of excluding virtual layer. Furthermore, the summit is likely to be postponed if virtual layer is incorporated.

Critical Terrorist Organizations and Terrorist Organization Alliance Networks Based on Key Nodes Founding

“…Mining the terrorist organizations for details is very useful. Various community detection algorithms can be applied [24].…”

Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic

“…The third is the discrete probability model proposed by Wang in 2003 [29] . Models of disease spreading on more advanced networks, such as multilayer networks and adaptive networks, have also been investigated [30] , [31] . For example, Zhu et al proposed a two-layer network model to study the spreading properties of lethal diseases [32] .…”

A New Coupled Awareness‐Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks

“…Moreover, Wang et al further found that the awareness inhibits the epidemic spreading, whereas the epidemic spreading facilitates the awareness diffusion [15]. Zhu et al thought that an epidemic might spread among multicommunities, so they modeled each community as a multiplex network that included both a virtual awareness layer and a physical layer [16]. ey further presented a coupled UAU-SIRD model, which consisted of a virtual layer sustaining unaware-aware-unaware dynamics and a physical layer supporting the susceptible-infected-recovered-dead process, to investigate the spreading property of epidemics and the relationships between the focused variables and parameters of the epidemic.…”

“…Some research studies assumed that the diffusion of awareness will reduce the infection rate of individuals [12][13][14][15][16].…”