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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

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© The Author(s), 2020. 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… Click to show full abstract

© The Author(s), 2020. 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. Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies

Keywords: theory algorithms; graph theory; algorithms match; structures graph; network structures; population network

Journal Title: Epidemiology and Infection
Year Published: 2020

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