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Stockholm University, Faculty of Science, Department of Mathematics.ORCID iD: 0000-0002-9228-7357
2019 (English)In: Stochastic Epidemic Models with Inference / [ed] Tom Britton, Etienne Pardoux, Cham: Springer, 2019, Vol. 2255, p. 243-250Chapter in book (Refereed)
Abstract [en]

Usually, social networks on which disease spread are very complex. It is thus convenient to model them by random networks. We start with some definitions, and then present some common families of random networks. There is a growing literature on random networks to which we refer the reader for further developments (e.g. [25, 109]).

Place, publisher, year, edition, pages
Cham: Springer, 2019. Vol. 2255, p. 243-250
Series
Lecture Notes in Mathematics, ISSN 0075-8434, E-ISSN 1617-9692 ; 2255
National Category
Biological Sciences Mathematics
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URN: urn:nbn:se:su:diva-184934DOI: 10.1007/978-3-030-30900-8_8ISI: 000554922300014ISBN: 978-3-030-30899-5 (print)ISBN: 978-3-030-30900-8 (electronic)OAI: oai:DiVA.org:su-184934DiVA, id: diva2:1469631
Available from: 2020-09-22 Created: 2020-09-22 Last updated: 2022-02-25Bibliographically approved

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