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Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies

Detalles Bibliográficos
Autor principal: Rao, Arni S. R. Srinivasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019487/
https://www.ncbi.nlm.nih.gov/pubmed/31959273
http://dx.doi.org/10.1017/S0950268819002255
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author Rao, Arni S. R. Srinivasa
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spelling pubmed-70194872020-02-27 Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies Rao, Arni S. R. Srinivasa Epidemiol Infect Letter to the Editor Cambridge University Press 2020-01-21 /pmc/articles/PMC7019487/ /pubmed/31959273 http://dx.doi.org/10.1017/S0950268819002255 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letter to the Editor
Rao, Arni S. R. Srinivasa
Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
title Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
title_full Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
title_fullStr Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
title_full_unstemmed Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
title_short Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
title_sort population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019487/
https://www.ncbi.nlm.nih.gov/pubmed/31959273
http://dx.doi.org/10.1017/S0950268819002255
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