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Social networks and the spread of epidemics
In addition to the modern web-based “social networks”, where contacts are only virtual, there is a more traditional network of physical contacts among individuals, which is ultimately responsible for the transmission of all types of diseases. In this paper, we introduce the basic models of networks...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Milan
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149217/ http://dx.doi.org/10.1007/s40329-013-0022-0 |
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author | Piccardi, Carlo |
author_facet | Piccardi, Carlo |
author_sort | Piccardi, Carlo |
collection | PubMed |
description | In addition to the modern web-based “social networks”, where contacts are only virtual, there is a more traditional network of physical contacts among individuals, which is ultimately responsible for the transmission of all types of diseases. In this paper, we introduce the basic models of networks used to describe the social contacts within a population. Then we study how to transfer the traditional epidemic models, based on the “homogeneous mixing” assumption, to the new framework. We will see that, moving from the classical to the network modelling approach, results become more complex and somehow unexpected, as the structure of the social network plays a fundamental role. |
format | Online Article Text |
id | pubmed-7149217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
spelling | pubmed-71492172020-04-13 Social networks and the spread of epidemics Piccardi, Carlo Lettera Matematica Article In addition to the modern web-based “social networks”, where contacts are only virtual, there is a more traditional network of physical contacts among individuals, which is ultimately responsible for the transmission of all types of diseases. In this paper, we introduce the basic models of networks used to describe the social contacts within a population. Then we study how to transfer the traditional epidemic models, based on the “homogeneous mixing” assumption, to the new framework. We will see that, moving from the classical to the network modelling approach, results become more complex and somehow unexpected, as the structure of the social network plays a fundamental role. Springer Milan 2013-08-21 2013 /pmc/articles/PMC7149217/ http://dx.doi.org/10.1007/s40329-013-0022-0 Text en © Centro P.RI.ST.EM, Università Commerciale Luigi Bocconi 2013 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Piccardi, Carlo Social networks and the spread of epidemics |
title | Social networks and the spread of epidemics |
title_full | Social networks and the spread of epidemics |
title_fullStr | Social networks and the spread of epidemics |
title_full_unstemmed | Social networks and the spread of epidemics |
title_short | Social networks and the spread of epidemics |
title_sort | social networks and the spread of epidemics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149217/ http://dx.doi.org/10.1007/s40329-013-0022-0 |
work_keys_str_mv | AT piccardicarlo socialnetworksandthespreadofepidemics |