Abstract：In this paper, we study the epidemic dynamics on tripartite networks. Many vector-borne diseases spread among three populations (human beings, vectors and animals).In response to such diseases, we propose tripartite networks. Through theoretical analysis, we find the basic reproduction number of tripartite networks is not only relevant to the ratio between the second moment and the average degree, but also to the average degree, which is different with the result on bipartite networks in essence. Through numerical analysis, we also find that the diseases on the tripartite networks are easier to propagate than that on the bipartite networks; under the same contact patterns, four infection rates have the same effect on the basic reproduction number; the diseases exist or disappear on three subnetworks at the same time.
王玲娜, 王领弟, 傅新楚. 三部图网络上的媒介传染病动力学[J]. 复杂系统与复杂性科学, 2017, 14(2): 11-18.
WANG Lingna, WANG Lingdi, FU Xinchu. Epidemic Dynamics of Vector-Borne Diseases on Tripartite Networks[J]. Complex Systems and Complexity Science, 2017, 14(2): 11-18.
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