Journal of complex networks最新文献_第10页

An Information Theory Approach to Network Evolution Models 网络演化模型的信息论方法

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-20 DOI: 10.1093/comnet/cnac020

Amirmohammad Farzaneh, J. Coon

引用次数: 1

Optimal randomized quadrature for weighted Sobolev and Besov classes with the Jacobi weight on the ball 球上Jacobi权值加权Sobolev和Besov类的最优随机正交

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-18 DOI: 10.1016/j.jco.2022.101691

Jiansong Li, Heping Wang

引用次数: 0

Peak fraction of infected in epidemic spreading for multi-community networks 多社区网络中传染病传播的峰值感染比例

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-12 DOI: 10.1093/comnet/cnac021

Jing Ma, Xiangyi Meng, L. Braunstein

{"title":"Peak fraction of infected in epidemic spreading for multi-community networks","authors":"Jing Ma, Xiangyi Meng, L. Braunstein","doi":"10.1093/comnet/cnac021","DOIUrl":"https://doi.org/10.1093/comnet/cnac021","url":null,"abstract":"\u0000 One of the most effective strategies to mitigate the global spreading of a pandemic (e.g. coronavirus disease 2019) is to shut down international airports. From a network theory perspective, this is since international airports and flights, essentially playing the roles of bridge nodes and bridge links between countries as individual communities, dominate the epidemic spreading characteristics in the whole multi-community system. Among all epidemic characteristics, the peak fraction of infected, $I_{max}$, is a decisive factor in evaluating an epidemic strategy given limited capacity of medical resources but is seldom considered in multi-community models. In this article, we study a general two-community system interconnected by a fraction $r$ of bridge nodes and its dynamic properties, especially $I_{max}$, under the evolution of the susceptible-infected-recovered model. Comparing the characteristic time scales of different parts of the system allows us to analytically derive the asymptotic behaviour of $I_{max}$ with $r$, as $rrightarrow 0$, which follows different power-law relations in each regime of the phase diagram. We also detect crossovers when $I_{max}$ changes from one power law to another, crossing different power-law regimes as driven by $r$. Our results enable a better prediction of the effectiveness of strategies acting on bridge nodes, denoted by the power-law exponent $epsilon_I$ as in $I_{max}propto r^{1/epsilon_I}$.","PeriodicalId":15442,"journal":{"name":"Journal of complex networks","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76205256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Preferential attachment with reciprocity: properties and estimation 具有互易性的优先依恋:性质和估计

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-11 DOI: 10.1093/comnet/cnad031

Daniel Cirkovic, Tiandong Wang, S. Resnick

引用次数: 5

Geometric sampling of networks 网络的几何抽样

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-01 DOI: 10.1093/comnet/cnac014

Vladislav Barkanass;Jürgen Jost;Emil Saucan;Edwin Hancock

引用次数: 0

Epidemic thresholds of infectious diseases on tie-decay networks 捆绑衰减网络上传染病的流行阈值

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-01 DOI: 10.1093/comnet/cnab031

Qinyi Chen;Mason A Porter;Naoki Masuda

{"title":"Epidemic thresholds of infectious diseases on tie-decay networks","authors":"Qinyi Chen;Mason A Porter;Naoki Masuda","doi":"10.1093/comnet/cnab031","DOIUrl":"https://doi.org/10.1093/comnet/cnab031","url":null,"abstract":"In the study of infectious diseases on networks, researchers calculate epidemic thresholds to help forecast whether or not a disease will eventually infect a large fraction of a population. Because network structure typically changes with time, which fundamentally influences the dynamics of spreading processes and in turn affects epidemic thresholds for disease propagation, it is important to examine epidemic thresholds in models of disease spread on temporal networks. Most existing studies of epidemic thresholds in temporal networks have focused on models in discrete time, but most real-world networked systems evolve continuously with time. In our work, we encode the continuous time-dependence of networks in the evaluation of the epidemic threshold of a susceptible–infected–susceptible (SIS) process by studying an SIS model on tie-decay networks. We derive the epidemic-threshold condition of this model, and we perform numerical experiments to verify it. We also examine how different factors—the decay coefficients of the tie strengths in a network, the frequency of the interactions between the nodes in the network, and the sparsity of the underlying social network on which interactions occur—lead to decreases or increases of the critical values of the threshold and hence contribute to facilitating or impeding the spread of a disease. We thereby demonstrate how the features of tie-decay networks alter the outcome of disease spread.","PeriodicalId":15442,"journal":{"name":"Journal of complex networks","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49961865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

The performance of cooperation strategies for enhancing the efficiency of international oil trade networks 提高国际石油贸易网络效率的合作战略执行情况

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-01 DOI: 10.1093/comnet/cnab053

Na Wei;Wen-Jie Xie;Wei-Xing Zhou;Naoki Masuda

引用次数: 4

Supernodes: a generalization of the rich-club 超级节点:富人俱乐部的概括

IF 2.1 4区数学

Journal of complex networks Pub Date : 2022-01-01 DOI: 10.1093/comnet/cnab052

Su Yuan Chan;Kerri Morgan;Nicholas Parsons;Julien Ugon;Jonathan Crofts

引用次数: 0

OUP accepted manuscript OUP接受稿件