Title	Epidemic Spread on Networks
Creator	Van Mieghem, Piet
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2019-05-22T09:50
Description	Epidemic models are increasingly applied in real-world networks to understand various kinds of diffusion phenomena (such as the spread of diseases, emotions, innovations, failures) or the transport of information (such as news, memes in social on-line networks and activity in functional human brain networks). We will mainly focus on Susceptible-Infected-Susceptible (SIS) epidemics on networks. We believe that the SIS Markovian epidemics on a given, fixed graph is one of the simplest "local rule - global emergence" models that allows a remarkable level of analysis. After a brief review of the SIS continuous-time Markovian process on a graph, we will show why SIS epidemics on networks are so interesting and we will overview our recent developments.
Extent	48.0 minutes
Subject	Mathematics; Probability theory and stochastic processes; Statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: TU Delft
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-11-19
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0385539
URI	http://hdl.handle.net/2429/72312
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Epidemic Spread on Networks Van Mieghem, Piet

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