TY - JOUR
T1 - Analysis of epidemic spreading process in multi-communities
AU - Zhu, Peican
AU - Wang, Xing
AU - Zhi, Qiang
AU - Ma, Jiezhong
AU - Guo, Yangming
N1 - Publisher Copyright:
© 2018
PY - 2018/4
Y1 - 2018/4
N2 - In 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 multi-communities. 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.
AB - In 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 multi-communities. 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.
KW - Inter-contact
KW - Intra-contact
KW - Multiplex networks
KW - Susceptible-infected-recovered (SIR) model
KW - Virtual layer
UR - http://www.scopus.com/inward/record.url?scp=85042918146&partnerID=8YFLogxK
U2 - 10.1016/j.chaos.2018.02.007
DO - 10.1016/j.chaos.2018.02.007
M3 - 文章
AN - SCOPUS:85042918146
SN - 0960-0779
VL - 109
SP - 231
EP - 237
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
ER -