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Host movement,transmission hot spots,and vector-borne disease dynamics on spatial networks

Infectious Disease Modelling 2022年第4期7卷 742-760页

作者： Omar Saucedo Joseph H.Tien Department of Mathematics Virginia TechBlacksburgVAUSA Department of Mathematics The Ohio State UniversityColumbusOHUSA

We examine how spatial heterogeneity combines with mobility network structure to influence vector-borne disease ***,we consider a Ross-Macdonald-type disease model on n spatial locations that are coupled by host movement on a strongly connected,weighted,directed *** derive a closed form approximation to the domain reproduction number using a Laurent series expansion,and use this approximation to compute sensitivities of the basic reproduction number to model *** illustrate how these results can be used to help inform mitigation strategies,as a case study we apply these results to malaria dynamics in Namibia,using published cell phone data and estimates for local disease *** analytical results are particularly useful for understanding drivers of transmission when mobility sinks and transmission hot spots do not coincide.

关键词： Human movement Vector-borne disease spatial networks Reproduction number Laurent series

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Identification of key recovering node for spatial networks

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Chinese Physics B 2023年第6期32卷 698-704页

作者：严子健夏永祥郭丽君祝令哲梁圆圆涂海程 School of Communication Engineering Hangzhou Dianzi UniversityHangzhou 310018China China Intelligent Transportation Systems Association Beijing 100160China

Many networks in the real world have spatial attributes, such as location of nodes and length of edges, called spatial networks. When these networks are subject to some random or deliberate attacks, some nodes in the network fail, which causes a decline in the network performance. In order to make the network run normally, some of the failed nodes must be recovered. In the case of limited recovery resources, an effective key node identification method can find the key recovering node in the failed nodes, by which the network performance can be recovered most of the failed nodes. We propose two key recovering node identification methods for spatial networks, which are the Euclidean-distance recovery method and the route-length recovery method. Simulations on homogeneous and heterogeneous spatial networks show that the proposed methods can significantly recover the network performance.

关键词： complex networks spatial networks congestion key recovering node

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A Topology Control Algorithm for Self-organizing spatial networks

A Topology Control Algorithm for Self-organizing Spatial Net...

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2009中国控制与决策会议

作者： Ye Ning~1,Li Zhe~(1,2),Liu Jun~1 1.College of Information Science and Engineering,Northeastern University,Shenyang,110004,China

＜正＞Self-organizing spatial networks are integrated and intelligent networks constituted by communication and information systems from land,sea,air and *** characteristics such as high component complexity and large scale make network performances closely related to network *** paper proposed a topology control algorithm for self-organizing spatial networks based on hierarchical network *** a cluster,neighborhood direction information is used to discover and simplify local topology;symmetry mechanism is used to guarantee two-directional connectivity.K-disjoint links between adjacent clusters are maintained by finding out optimal matching of weighted bipartite graphs formed by border nodes from contiguous *** results show the proposed algorithm can enhance performances of self-organizing spatial networks.

关键词： Self-organizing networks spatial networks Topology control Power control Hierarchical structure

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