<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Plana F</submitter><funding>NLHPC, National Laboratory for High Performance Computing</funding><funding>Centro Nacional de Inteligencia Artificial, https://www.cenia.cl/</funding><funding>Millennium Institute Foundational Research on Data, https://imfd.cl/en/</funding><funding>National Agency for R+D, https://www.anid.cl/capital-humano/doctorado-nacional/</funding><funding>National Agency for R+D, https://www.anid.cl/proyectos-de-investigacion/fondecyt-regular/</funding><pagination>e0272733</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10171659</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>18(5)</volume><pubmed_abstract>It has been argued that hunter-gatherers' food-sharing may have provided the basis for a whole range of social interactions, and hence its study may provide important insight into the evolutionary origin of human sociality. Motivated by this observation, we propose a simple network optimization model inspired by a food-sharing dynamic that can recover some empirical patterns found in social networks. We focus on two of the main food-sharing drivers discussed by the anthropological literature: the reduction of individual starvation risk and the care for the group welfare or egalitarian access to food shares, and show that networks optimizing both criteria may exhibit a community structure of highly-cohesive groups around special agents that we call hunters, those who inject food into the sy</pubmed_abstract><journal>PloS one</journal><pubmed_title>Modularity of food-sharing networks minimises the risk for individual and group starvation in hunter-gatherer societies.</pubmed_title><pmcid>PMC10171659</pmcid><funding_grant_id>CONICYT-PCHA/Doctorado Nacional/2016-21161085</funding_grant_id><funding_grant_id>Fondecyt grant 1200967</funding_grant_id><pubmed_authors>Plana F</pubmed_authors><pubmed_authors>Abeliuk A</pubmed_authors><pubmed_authors>Perez J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Modularity of food-sharing networks minimises the risk for individual and group starvation in hunter-gatherer societies.</name><description>It has been argued that hunter-gatherers' food-sharing may have provided the basis for a whole range of social interactions, and hence its study may provide important insight into the evolutionary origin of human sociality. Motivated by this observation, we propose a simple network optimization model inspired by a food-sharing dynamic that can recover some empirical patterns found in social networks. We focus on two of the main food-sharing drivers discussed by the anthropological literature: the reduction of individual starvation risk and the care for the group welfare or egalitarian access to food shares, and show that networks optimizing both criteria may exhibit a community structure of highly-cohesive groups around special agents that we call hunters, those who inject food into the sy</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-26T14:27:22.555Z</modification><creation>2025-04-06T14:37:32.892Z</creation></dates><accession>S-EPMC10171659</accession><cross_references><pubmed>37163503</pubmed><doi>10.1371/journal.pone.0272733</doi></cross_references></HashMap>