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Dissertations / Theses on the topic 'Networked Epidemic Model'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Lindamulage, de Silva Olivier. "On the Efficiency of Decentralized Epidemic Management and Competitive Viral Marketing." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0145.

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Cette thèse explore la prise de décision décentralisée dans les dynamiques épidémiques et de marketing viral en utilisant la théorie des jeux afin d'évaluer son efficacité. La thèse commence par une revue des outils mathématiques, mettant l'accent sur la théorie des graphes/jeux. Dans la suite de ce manuscrit, l'analyse de jeu épidémiologique et de compétition en marketing viral est établie. Notamment, dans le chapitre 2 où il est présenté un jeu épidémique en réseau dans lequel chaque joueur (région ou pays) cherche à trouver un compromis entre les pertes socio-économiques et sanitaires, tout

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2

Tunc, Ilker. "Epidemic models on adaptive networks with network structure constraints." W&M ScholarWorks, 2013. https://scholarworks.wm.edu/etd/1539623618.

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Spread of infectious diseases progresses as a result of contacts between the individuals in a population. Therefore, it is crucial to gain insight into the pattern of connections to better understand and possibly control the spread of infectious diseases. Moreover, people may respond to an epidemic by changing their social behaviors to prevent infection. as a result, the structure of the network of social contacts evolves adaptively as a function of the disease status of the nodes. Recently, the dynamic relationships between different network topologies and adaptation mechanisms have attracted

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3

Burch, Mark G. "Statistical Methods for Network Epidemic Models." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471613656.

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4

Marques, Fernando Silveira. "Modelo híbrido estocástico aplicado no estudo de espalhamento de doenças infecciosas em redes dinâmicas de movimentação de animais." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/10/10134/tde-16112015-110234/.

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Objetivo. Desenvolvimento de uma estrutura para aplicação de simulação numérica estocástica no estudo de espalhamento de doenças em metapopulações de maneira que esta incorpore a topologia dinâmica de contatos entre as subpopulações, verificando as peculiaridades do modelo e aplicando este modelo às redes de movimentação de animais de Pernambuco para estudar o papel das feiras de animais. Método. Foi utilizado o paradigma de modelos híbridos para tratar do espalhamento de doenças nas metapopulações que, das nossas aplicações, resultou na união de duas estratégias de modelagem: Modelos Baseados

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5

Livingston, Samantha 1980. "Stochastic models for epidemics on networks." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28437.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 37).<br>In this thesis, I looked at an extension of the Reed-Frost epidemic model which had two-sub-populations. By setting up a Markov chain to model the epidemic and finding the transition probabilities of that chain, MATLAB could be used to solve for the expected number of susceptibles and the expected duration. I simulated the model with more tan two sub-populations to find the average number of susceptibles and reviewed previously

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Sensi, Mattia. "A Geometric Singular Perturbation approach to epidemic compartmental models." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/286191.

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We study fast-slow versions of the SIR, SIRS and SIRWS epidemiological models, and of the SIRS epidemiological model on homogeneous graphs, obtained through the application of the moment closure method. The multiple time scale behavior is introduced to account for large differences between some of the rates of the epidemiological pathways. Our main purpose is to show that the fast-slow models, even though in nonstandard form, can be studied by means of Geometric Singular Perturbation Theory (GSPT). In particular, without using Lyapunov's method, we are able to not only analyze the stability of

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Sensi, Mattia. "A Geometric Singular Perturbation approach to epidemic compartmental models." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/286191.

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We study fast-slow versions of the SIR, SIRS and SIRWS epidemiological models, and of the SIRS epidemiological model on homogeneous graphs, obtained through the application of the moment closure method. The multiple time scale behavior is introduced to account for large differences between some of the rates of the epidemiological pathways. Our main purpose is to show that the fast-slow models, even though in nonstandard form, can be studied by means of Geometric Singular Perturbation Theory (GSPT). In particular, without using Lyapunov's method, we are able to not only analyze the stability of

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8

Riad, Md Mahbubul Huq. "Modeling Japanese Encephalitis using interconnected networks for a hypothetical outbreak in the USA." Kansas State University, 2017. http://hdl.handle.net/2097/35379.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Caterina Maria Scoglio<br>Japanese Encephalitis (JE) is a vector-borne disease transmitted by mosquitoes and maintained in birds and pigs. An interconnected network model is proposed to examine the possible epidemiology of JE in the USA. Proposed JE model is an individual-level network model that explicitly considers the feral pig population and implicitly considers mosquitoes and birds in specific areas of Florida, North Carolina, and South Carolina. The virus transmission among feral pigs within a small geographic area

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9

Taylor, Michael. "Exact and approximate epidemic models on networks : theory and applications." Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/45258/.

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This thesis is concerned with modelling the spread of diseases amongst host populations and the epidemics that result from this process. We are primarily interested in how networks can be used to model the various heterogeneities observable in real-world populations. Firstly, we start with the full system of Kolmogorov/master equations for a simple Susceptible-Infected-Susceptible (SIS) type epidemic on an arbitrary contact network. From this general framework, we rigorously derive sets of ODEs that describe the exact dynamics of the expected number of individuals and pairs of individuals. We

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10

Davis, Ben. "Stochastic epidemic models on random networks : casual contacts, clustering and vaccination." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/47272/.

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There has been considerable recent interest in models for epidemics on networks describing social contacts. This thesis considers a stochastic SIR (Susceptible - Infective - Removed) model for the spread of an epidemic among a population of individuals, with a random network of social contacts, that is partitioned into households and in which individuals also make casual contacts, i.e. with people chosen uniformly at random from the population. The behaviour of the model as the population tends to infinity is investigated. A threshold parameter that governs whether or not the epidemic with an

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Pachas, Manrique Anna Patricia. "Modelos epidemiológicos em redes." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/18662.

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Nsoesie, Elaine O. "Sensitivity Analysis and Forecasting in Network Epidemiology Models." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/37620.

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In recent years, several methods have been proposed for real-time modeling and forecasting of the epidemic curve. These methods range from simple compartmental models to complex agent-based models. In this dissertation, we present a model-based reasoning approach to forecasting the epidemic curve and estimating underlying disease model parameters. The method is based on building an epidemic library consisting of past and simulated influenza outbreaks. During an influenza epidemic, we use a combination of statistical, optimization and modeling techniques to either assign the epidemic to one of

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Schumm, Phillip Raymond Brooke. "Characterizing epidemics in metapopulation cattle systems through analytic models and estimation methods for data-driven model inputs." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16897.

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Doctor of Philosophy<br>Department of Electrical and Computer Engineering<br>Caterina Maria Scoglio<br>We have analytically discovered the existence of two global epidemic invasion thresholds in a directed meta-population network model of the United States cattle industry. The first threshold describes the outbreak of disease first within the core of the livestock system while the second threshold describes the invasion of the epidemic into a second class of locations where the disease would pose a risk for contamination of meat production. Both thresholds have been verified through extensive

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Sutrave, Sweta. "Dynamic network models of a continental epidemic: soybean rust in the USA." Thesis, Kansas State University, 2010. http://hdl.handle.net/2097/4588.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Karen A. Garrett<br>Caterina M. Scoglio<br>With rapid global movement of epidemics, research efforts to characterize dynamics of epidemics have gained much focus. Traditional epidemiological models have focused on only temporal components of epidemics. Development of spatio-temporal models proved to be a notable achievement in epidemiology. Network-based epidemiological models enable better handling of spatial and temporal components of an epidemic. Early network models considered a binary level of contact between infect

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Kolgushev, Oleg. "Influence of Underlying Random Walk Types in Population Models on Resulting Social Network Types and Epidemiological Dynamics." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc955128/.

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Epidemiologists rely on human interaction networks for determining states and dynamics of disease propagations in populations. However, such networks are empirical snapshots of the past. It will greatly benefit if human interaction networks are statistically predicted and dynamically created while an epidemic is in progress. We develop an application framework for the generation of human interaction networks and running epidemiological processes utilizing research on human mobility patterns and agent-based modeling. The interaction networks are dynamically constructed by incorporating differen

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Ferreira, Jackson Andrade. "Um modelo multiescalas de autômatos celulares para pandemia da dengue." Universidade Federal de Viçosa, 2009. http://locus.ufv.br/handle/123456789/4233.

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Made available in DSpace on 2015-03-26T13:35:10Z (GMT). No. of bitstreams: 1 texto completo.pdf: 2430887 bytes, checksum: 46c97cae3636842e90c00b8d31b6f16a (MD5) Previous issue date: 2009-02-09<br>Fundação de Amparo a Pesquisa do Estado de Minas Gerais<br>The dramatic resurgence and emergence of epidemic dengue and dengue hemorragic fever in the last two decades neatly define a global pandemic. The dispersion of dengue viruses combines local infections of humans bited by infective mosquitoes inside a city with long-range transmissions to non-infective vectors that feed the blood of infected p

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Oleś, Katarzyna A. "Searching for the optimal control strategy of epidemics spreading on different types of networks." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21199.

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The main goal of my studies has been to search for the optimal control strategy of controlling epidemics when taking into account both economical and social costs of the disease. Three control scenarios emerge with treating the whole population (global strategy, GS), treating a small number of individuals in a well-defined neighbourhood of a detected case (local strategy, LS) and allowing the disease to spread unchecked (null strategy, NS). The choice of the optimal strategy is governed mainly by a relative cost of palliative and preventive treatments. Although the properties of the pathogen m

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Trimarchi, Biagio. "Distributed Identification of a Network Model for Pandemic Spreading." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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The recent outburst of the Covid-19 epidemic has made clear the necessity of developing dynamical models for the prediction and the control of large scale epidemic systems. Due to the large impact they have on the life of people and on the economy of the countries, it is extremely important to design models that are able to predict the evolution of such complex phenomena. In the thesis a compartmental model for epidemics is developed and implemented in a Python toolbox suited for distributed computation. Based on the proposed model and on available data, an identification algorithm, based on a

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19

Pinto, Eduardo Ribeiro. "Estudo da dinâmica de epidemias em Redes Complexas." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/153846.

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Ismailov, Alexej. "Network Monitoring in Delay Tolerant Network." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174053.

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A Disruption Tolerant Network (DTN) is a sparse network where connectivity is regulated by the proximity of mobile nodes. Connections are sporadic and the delivery rate is closely related to node movement. As network resources often are limited in such settings, it is useful to monitor the network in order to make more efficient communication decisions. This study investigates existing routing protocols and monitoring tools for DTN that best cope with the requirements of a tactical military network. A model is proposed to estimate source to destination delay in DTN. This model is evaluated in

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21

Nassani, Sararose. "An Application of Statistics and Random Graphs to Analyze Local Heroin Markets." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case155440032815001.

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22

Corley, Courtney David. "Social Network Simulation and Mining Social Media to Advance Epidemiology." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc11053/.

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Traditional Public Health decision-support can benefit from the Web and social media revolution. This dissertation presents approaches to mining social media benefiting public health epidemiology. Through discovery and analysis of trends in Influenza related blogs, a correlation to Centers for Disease Control and Prevention (CDC) influenza-like-illness patient reporting at sentinel health-care providers is verified. A second approach considers personal beliefs of vaccination in social media. A vaccine for human papillomavirus (HPV) was approved by the Food and Drug Administration in May 2006.

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Schimit, Pedro Henrique Triguis. "Modelagem e controle de propagação de epidemias usando autômatos celulares e teoria de jogos." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-05122011-153541/.

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Estuda-se o espalhamento de doenças contagiosas utilizando modelos suscetível-infectado-recuperado (SIR) representados por equações diferenciais ordinárias (EDOs) e por autômatos celulares probabilistas (ACPs) conectados por redes aleatórias. Cada indivíduo (célula) do reticulado do ACP sofre a influência de outros, sendo que a probabilidade de ocorrer interação com os mais próximos é maior. Efetuam-se simulações para investigar como a propagação da doença é afetada pela topologia de acoplamento da população. Comparam-se os resultados numéricos obtidos com o modelo baseado em ACPs ale

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Segovia, Silvero Juan. "Robustness against large-scale failures in communications networks." Doctoral thesis, Universitat de Girona, 2011. http://hdl.handle.net/10803/70008.

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This thesis studies robustness against large-scale failures in communications networks. If failures are isolated, they usually go unnoticed by users thanks to recovery mechanisms. However, such mechanisms are not effective against large-scale multiple failures. Large-scale failures may cause huge economic loss. A key requirement towards devising mechanisms to lessen their impact is the ability to evaluate network robustness. This thesis focuses on multilayer networks featuring separated control and data planes. The majority of the existing measures of robustness are unable to capture the true

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Gallois, Passat Isabelle. "Analyse de modèles d'évolution sur un réseau, cas d'un système épidémique avec diffusion non locale." Thesis, Cergy-Pontoise, 2015. http://www.theses.fr/2015CERG0786.

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Cette thèse porte sur l'analyse mathématique de modèles d'évolution sur des réseaux. La thèse se compose de trois chapitres. Les deux premiers portent sur un modèle de propagation d'épidémies dans des réseaux et le troisième porte sur l'équation de Price, qui intervient dans la modélisation de la croissance des réseaux complexes.L'essentiel de la thèse est constituée des deux premiers chapitres, où nous proposons et analysons un modèle épidémique de type SIS avec diffusion non locale. Ce modèle est obtenu à partir d'un modèle discret, en supposant que le degré des noeuds du réseau est ici une

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Meharouech, Ali Amira. "Wireless body-to-body sensor networks : optimization models and algorithms." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB122/document.

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Motivés par la demande croissante de services de santé améliorés et à distance, qui tend à augmenter notamment avec une population de plus en plus âgée, et la réduction du coût de l'utilisation des infrastructures réseaux, afin d'assurer des applications de santé temps-réel et à faible débit de données, les réseaux de capteurs médicaux sans fil (WBANs) forment encore un domaine de recherche en forte croissance, notamment avec le développement de WBANs coopératifs. Dans ce contexte, en utilisant les utilisateurs du réseau eux-mêmes en tant que relais on pourrait étendre les infrastructures rése

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Meharouech, Ali Amira. "Wireless body-to-body sensor networks : optimization models and algorithms." Electronic Thesis or Diss., Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB122.

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Motivés par la demande croissante de services de santé améliorés et à distance, qui tend à augmenter notamment avec une population de plus en plus âgée, et la réduction du coût de l'utilisation des infrastructures réseaux, afin d'assurer des applications de santé temps-réel et à faible débit de données, les réseaux de capteurs médicaux sans fil (WBANs) forment encore un domaine de recherche en forte croissance, notamment avec le développement de WBANs coopératifs. Dans ce contexte, en utilisant les utilisateurs du réseau eux-mêmes en tant que relais on pourrait étendre les infrastructures rése

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Hui, Zi. "Spatial structure of complex network and diffusion dynamics." Thesis, Le Mans, 2013. http://www.theses.fr/2013LEMA1005/document.

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Dans le développement récent des sciences de réseau, réseaux contraints spatiales sont devenues un objet d'une enquête approfondie. Spatiales des réseaux de contraintes sont intégrées dans l'espace de configuration. Leurs structures et les dynamiques sont influencées par la distance spatiale. Ceci est prouvé par les données empiriques de plus en plus sur des systèmes réels montrant des lois exponentielles ou de distribution d'énergie distance spatiale de liens. Dans cette thèse, nous nous concentrons sur la structure de réseau spatial avec une distribution en loi de puissance spatiale. Plusieu

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Kandhway, Kundan. "Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/2670.

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Social networks play an important role in disseminating a piece of information in a population. Companies advertising a newly launched product, movie promotion, political campaigns, social awareness campaigns by governments, charity campaigns by NGOs and crowd funding campaigns by entrepreneurs are a few examples where an entity is interested in disseminating a piece of information in a target population, possibly under resource constraints. In this thesis we model information diffusion in a population using various epidemic models and study optimal campaigning strategies to maximize the reach

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Kandhway, Kundan. "Optimal Control of Information Epidemics in Homogeneously And Heterogeneously Mixed Populations." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2670.

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Social networks play an important role in disseminating a piece of information in a population. Companies advertising a newly launched product, movie promotion, political campaigns, social awareness campaigns by governments, charity campaigns by NGOs and crowd funding campaigns by entrepreneurs are a few examples where an entity is interested in disseminating a piece of information in a target population, possibly under resource constraints. In this thesis we model information diffusion in a population using various epidemic models and study optimal campaigning strategies to maximize the reach

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Lin, Yu-Chen, and 林煜程. "Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5bvh2e.

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碩士<br>國立交通大學<br>應用數學系數學建模與科學計算碩士班<br>105<br>In this paper, we consider an epidemic model in well-mixed multiplex networks with distributed time delay. Specifically, the model consists of two layers of well-mixed networks, where two diffusive processes on the same individual interacting and affecting each other. We assume that there is a distributed time delay for an individual getting infected and no delay for an individual changing one’s status from unawareness to awareness. There are three possible equilibria E1, E2 and E3, called disease and information free equilibrium, disease free and in

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Huang, Yi-Jie, and 黃義傑. "A study of a network-based SIS epidemic model with saturated treatment rate." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/w43b3u.

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碩士<br>國立高雄師範大學<br>數學系<br>105<br>In recent years, infectious diseases have become a serious problem and have increased morbidity and mortality of individuals around the world. Thus, studying the spreading dynamics of the infectious diseases is a relevant issue. In this thesis, we will investigate an epidemic model which is composed of a system of ordinary differential equations. To fit for reality, complex network topology and saturated incidence rate are incorporated into the model. Besides, we know that the resources of treatment may be limited, and this implies that the recovery from infecti

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Shiller, Elisabeth. "EVOLVING CONTACT NETWORKS TO ANALYZE EPIDEMIC BEHAVIOUR AND STUDYING THE EFFECTS OF VACCINATION." Thesis, 2012. http://hdl.handle.net/10214/5266.

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Epidemic models help researchers understand and predict the nature of a potential epidemic. This study analyzes and improves network evolution technology that evolves contact networks so that simulated epidemics on the network mimic a specified epidemic pattern. The evolutionary algorithm incorporates the novel recentering-restarting algorithm, which is adopted into the optimizer to allow for efficient search of the space of networks. It also implements the toggle-delete representation which allows for broader search of solution space. Then, a diffusion character based method is used for analy

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"Study of an Epidemic Multiple Behavior Diffusion Model in a Resource Constrained Social Network." Master's thesis, 2013. http://hdl.handle.net/2286/R.I.20967.

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abstract: In contemporary society, sustainability and public well-being have been pressing challenges. Some of the important questions are:how can sustainable practices, such as reducing carbon emission, be encouraged? , How can a healthy lifestyle be maintained?Even though individuals are interested, they are unable to adopt these behaviors due to resource constraints. Developing a framework to enable cooperative behavior adoption and to sustain it for a long period of time is a major challenge. As a part of developing this framework, I am focusing on methods to understand behavior diffusion

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Moraes, Alvaro. "Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models." Diss., 2015. http://hdl.handle.net/10754/344375.

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Epidemics have shaped, sometimes more than wars and natural disasters, demo- graphic aspects of human populations around the world, their health habits and their economies. Ebola and the Middle East Respiratory Syndrome (MERS) are clear and current examples of potential hazards at planetary scale. During the spread of an epidemic disease, there are phenomena, like the sudden extinction of the epidemic, that can not be captured by deterministic models. As a consequence, stochastic models have been proposed during the last decades. A typical forward problem in the stochastic setting could be the

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Chen, Chi-Hweng, and 陳祈宏. "A distribution model of epidemic prevention goods in epidemic prevention network of the infectious diseases – a case study of Severe Acute Respiratory Syndrome." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/24103452916490972473.

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碩士<br>國立雲林科技大學<br>工業工程與管理研究所碩士班<br>93<br>When the infectious diseases outbreak, it always be endemic in a short time because people don’t pay attention to epidemic prevention goods. For example, Severe Acute Respiratory Syndrome causes about eight thousands and four hundreds suspect cases and eight hundreds people death in the world from World Health Organization identified the infectious diseases. In the same time everyone has live in the menace of infectious diseases and no people know what is the best methods of control infectious diseases. And hospitals of medical treatment of infectious d

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Hsu, Hui-Yu, and 許卉瑀. "Analysis of Information Delivery Dynamics in Cognitive Radio Ad Hoc Networks Using Epidemic Models." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/34067141204704547126.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>103<br>Over the past decade cognitive radio (CR) is introduced to increase spectrum efficiency, however it on the other hand burdens the interference control between unlicensed secondary users (SUs) and primary users (PUs). In CR ad hoc networks (CRAHNs), such considerations in interference control become more complicated, where SUs adopt dynamic spectrum access and power adjustment to ensure sufficient operation of PUs, and the inevitably increasing latency poses new challenges on reliability of end-to-end communications. To guarantee operations of primary systems w

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Bansal, Khandelwal Shweta 1980. "Ecology of infectious diseases with contact networks and percolation theory." Thesis, 2008. http://hdl.handle.net/2152/3910.

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Παπαφράγκος, Κωνσταντίνος. "Αναπαράσταση και προσομοίωση σύνθετων δικτύων για ανάλυση χαρακτηριστικών ασφαλείας". Thesis, 2013. http://hdl.handle.net/10889/6411.

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Βασικό χαρακτηριστικό της σύγχρονης εποχής αποτελεί η ραγδαία αύξηση του Διαδικτύου τόσο σε επίπεδο χρηστών όσο και σε επίπεδο παρεχόμενων υπηρεσιών. Συνεπώς, είναι επιτακτική η ανάγκη της προστασίας των δικτυακών και υπολογιστικών συστημάτων από διάφορες απειλές οι οποίες μπορούν να τα καταστήσουν τρωτά. Για την πλήρη προστασία όμως αυτών των συστημάτων, απαιτείται πρώτα η κατανόηση του είδους, της ταυτότητας και του τρόπου διάδοσης της απειλής. Ιδιαίτερη χρήσιμη έχει αποδειχθεί η ανάπτυξη και αναζήτηση αξιόπιστων μοντέλων ικανών να περιγράψουν αρκετά αποτελεσματικά τον τρόπο διάδοσης

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Venkataramanan, Srinivasan. "Influence Dynamics on Social Networks." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3114.

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With online social networks such as Facebook and Twitter becoming globally popular, there is renewed interest in understanding the structural and dynamical properties of social networks. In this thesis we study several stochastic models arising in the context of the spread of inﬂuence or information in social networks. Our objective is to provide compact and accurate quantitative descriptions of the spread processes, to understand the eﬀects of various system parameters, and to design policies for the control of such diﬀusions. One of the well established models for inﬂuence spread in social

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Venkataramanan, Srinivasan. "Influence Dynamics on Social Networks." Thesis, 2014. http://hdl.handle.net/2005/3114.

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With online social networks such as Facebook and Twitter becoming globally popular, there is renewed interest in understanding the structural and dynamical properties of social networks. In this thesis we study several stochastic models arising in the context of the spread of inﬂuence or information in social networks. Our objective is to provide compact and accurate quantitative descriptions of the spread processes, to understand the eﬀects of various system parameters, and to design policies for the control of such diﬀusions. One of the well established models for inﬂuence spread in social

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Tasi, Ming Chi, and 蔡明其. "Using Network-Oriented Epidemic Model to Simulate the Transmission Dynamics of Novel Influenza and Assess the Efficacy of Prevention Intervention Strategies." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/47j2ec.

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碩士<br>長庚大學<br>資訊工程學研究所<br>96<br>WHO forecasts that there will be two billion people throughout the world catch the Novel Influenza when it becomes popular again, and the death rate will approach to one hundred percent. Although, we can not predict when and what kind of novel infection will invade Taiwan or how it threaten people’s lives, health seriously. Infection situation report from WHO and CDC shows that the novel infection is more and more close to us without warning. As a result, we need to set up a Novel Influenza Network-Oriented Epidemic Model before it become popular next time. We w

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Botha, Robert Anthony. "The James 1:27 trust programme : a case study of an information, communication and technology (ICT) response to orphans and vulnerable children in the context of an HIV and AIDS epidemic." Diss., 2010. http://hdl.handle.net/10500/3908.

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This case study examines the James 1:27 Trust as an information, communication and technology response to the plight of orphans and vulnerable children within the context of an HIV and AIDS epidemic. The James 1:27 Trust demonstrates how social networks can be mobilized in support of children at risk. The use of business information and management systems to administer concepts such as “virtual adoption” is deemed an important innovative contribution. The James 1:27 Trust and its model is studied as a contributor in finding solutions to scale and multiply levels of care by community and

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(9741149), Lintao Ye. "Algorithmic and Graph-Theoretic Approaches for Optimal Sensor Selection in Large-Scale Systems." Thesis, 2020.

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<div>Using sensor measurements to estimate the states and parameters of a system is a fundamental task in understanding the behavior of the system. Moreover, as modern systems grow rapidly in scale and complexity, it is not always possible to deploy sensors to measure all of the states and parameters of the system, due to cost and physical constraints. Therefore, selecting an optimal subset of all the candidate sensors to deploy and gather measurements of the system is an important and challenging problem. In addition, the systems may be targeted by external attackers who attempt to remove or

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