245 research outputs found

    Epidemic model with isolation in multilayer networks

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    The Susceptible-Infected-Recovered (SIR) model has successfully mimicked the propagation of such airborne diseases as influenza A (H1N1). Although the SIR model has recently been studied in a multilayer networks configuration, in almost all the research the isolation of infected individuals is disregarded. Hence we focus our study in an epidemic model in a two-layer network and we use an isolation parameter w to measure the effect of quarantining infected individuals from both layers during an isolation period tw. We call this process the Susceptible-Infected-Isolated-Recovered (SIIR) model. Using the framework of link percolation we find that isolation increases the critical epidemic threshold of the disease because the time in which infection can spread is reduced. In this scenario we find that this threshold increases with w and tw. When the isolation period is maximum there is a critical threshold for w above which the disease never becomes an epidemic. We simulate the process and find an excellent agreement with the theoretical results.We thank the NSF (grants CMMI 1125290 and CHE-1213217) and the Keck Foundation for financial support. LGAZ and LAB wish to thank to UNMdP and FONCyT (Pict 0429/2013) for financial support. (CMMI 1125290 - NSF; CHE-1213217 - NSF; Keck Foundation; UNMdP; Pict 0429/2013 - FONCyT)Published versio

    Epidemic Model with Isolation in Multilayer Networks

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    The Susceptible-Infected-Recovered (SIR) model has successfully mimicked the propagation of such airborne diseases as influenza A (H1N1). Although the SIR model has recently been studied in a multilayer networks configuration, in almost all the research the isolation of infected individuals is disregarded. Hence we focus our study in an epidemic model in a two-layer network, and we use an isolation parameter to measure the effect of isolating infected individuals from both layers during an isolation period. We call this process the Susceptible-Infected-Isolated-Recovered (SIIRSI_IR) model. The isolation reduces the transmission of the disease because the time in which infection can spread is reduced. In this scenario we find that the epidemic threshold increases with the isolation period and the isolation parameter. When the isolation period is maximum there is a threshold for the isolation parameter above which the disease never becomes an epidemic. We also find that epidemic models, like SIRSIR overestimate the theoretical risk of infection. Finally, our model may provide a foundation for future research to study the temporal evolution of the disease calibrating our model with real data.Comment: 18 pages, 5 figures.Accepted in Scientific Report

    Evaluation of components, subsystems, and networks for high rate, high frequency space communications

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    The development of new space communications technologies by NASA has included both commercial applications and space science requirements. NASA's Systems Integration, Test and Evaluation (SITE) Space Communication System Simulator is a hardware based laboratory simulator for evaluating space communications technologies at the component, subsystem, system, and network level, geared toward high frequency, high data rate systems. The SITE facility is well-suited for evaluation of the new technologies required for the Space Exploration Initiative (SEI) and advanced commercial systems. Described here are the technology developments and evaluation requirements for current and planned commercial and space science programs. Also examined are the capabilities of SITE, the past, present and planned future configurations of the SITE facility, and applications of SITE to evaluation of SEI technology

    Interacting social processes on interconnected networks

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    We propose and study a model for the interplay between two different dynamical processes --one for opinion formation and the other for decision making-- on two interconnected networks AA and BB. The opinion dynamics on network AA corresponds to that of the M-model, where the state of each agent can take one of four possible values (S=2,1,1,2S=-2,-1,1,2), describing its level of agreement on a given issue. The likelihood to become an extremist (S=±2S=\pm 2) or a moderate (S=±1S=\pm 1) is controlled by a reinforcement parameter r0r \ge 0. The decision making dynamics on network BB is akin to that of the Abrams-Strogatz model, where agents can be either in favor (S=+1S=+1) or against (S=1S=-1) the issue. The probability that an agent changes its state is proportional to the fraction of neighbors that hold the opposite state raised to a power β\beta. Starting from a polarized case scenario in which all agents of network AA hold positive orientations while all agents of network BB have a negative orientation, we explore the conditions under which one of the dynamics prevails over the other, imposing its initial orientation. We find that, for a given value of β\beta, the two-network system reaches a consensus in the positive state (initial state of network AA) when the reinforcement overcomes a crossover value r(β)r^*(\beta), while a negative consensus happens for r<r(β)r<r^*(\beta). In the rβr-\beta phase space, the system displays a transition at a critical threshold βc\beta_c, from a coexistence of both orientations for β<βc\beta<\beta_c to a dominance of one orientation for β>βc\beta>\beta_c. We develop an analytical mean-field approach that gives an insight into these regimes and shows that both dynamics are equivalent along the crossover line (r,β)(r^*,\beta^*).Comment: 25 pages, 6 figure

    Breve notícia sobre o "Kormtchaja Kniga"

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    Os código s d e lei s sã o uma da s principai s fonte s históricas . Alegislação, considerad a como produto da sua época , nos revela a s própriasestrutura s d a sociedad e d a qua l emano u e , po r outr o lado , con -siderada como norma , reflet e fielment e o esforç o conscient e po r mei odo qua l o homem tentou plasma r a sua civilização. Conhece r a lei, éconhecer a respectiv a époc a o u civilização . Apesa r d o luga r comum,a descobert a e a decifraçã o d o Códig o d e Hamurab i é a melho r de -monstração d a noss a afirmação

    Identidad para sí de los inmigrantes taiwaneses jóvenes

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    El fenómeno migratorio siempre fue relevante en el quehacer de la sociedad argentina. A los contingentes de inmigrantes europeos y latinoamericanos se incorporaron en las últimas décadas los de origen asiático, entre ellos los taiwaneses. Al igual que para los demás inmigrantes, el proceso de adaptación a la sociedad argentina presenta desafíos en cuanto a su identidad. Mantenerse “taiwanés” o transformarse en “argentino” es una cuestión que de alguna manera cada uno de los inmigrantes taiwaneses debe resolver. Sin embargo, intuimos que existen elementos comunes que generan tensión entre la adopción de una y otra identidad. El presente trabajo pretende indagar en el aspecto identitario del proceso de adaptación de los inmigrantes taiwaneses jóvenes. En primer lugar se presentan los aspectos teóricos que guiaron la recolección y análisis de los datos. Siguen a continuación, una explicación de los aspectos metodológicos, el análisis de los datos y unas breves conclusiones.Facultad de Humanidades y Ciencias de la Educació

    Amazon entry on Amazon Marketplace

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    There is an active policy debate seeking to understand whether Amazon first-party entry in competition with third-party merchants harms these merchants, and ultimately consumers, on Amazon Marketplace. Some argue that the exploitation of third-party data permits seller expropriation and reduces innovation while others claim that such entry permits the internalization of important externalities, benefiting consumers and merchants alike. We seek to inform this debate by measuring the predictors and effects of Amazon first-party retail entry on consumer and third-party merchant outcomes in the Home & Kitchen department of Germany’s Marketplace between 2016 and 2021. We find Amazon entry both within and across products is associated with modest positive effects on both consumer and third-party merchant outcomes more consistent with mild market expansion than with appropriating third-party sales. We find that both Amazon and large third-party merchants’ entry is associated with fewer subsequent new product introductions, but that these are consistent with regression to the mean rather than causal effects on innovation. Finally, we find that the predictors of Amazon’s within-product entry decisions are more consistent with a strategy that makes Marketplace more attractive to consumers than of third-party seller expropriation, including consideration of predictors based on aggregated Marketplace data. While the empirical setting presented challenges for estimating causal effects, our results are broadly inconsistent with systematic adverse effects of Amazon entry on Amazon Marketplace
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