Sex differences in intimate relationships

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Palchykov, Vasyl Kaski, Kimmo Kertész, Janos Barabási, Albert László Dunbar, Robin I M 2017-01-19T11:03:30Z 2012
dc.identifier.citation Palchykov , V , Kaski , K , Kertész , J , Barabási , A L & Dunbar , R I M 2012 , ' Sex differences in intimate relationships ' SCIENTIFIC REPORTS , vol 2 , srep00370 . DOI: 10.1038/srep00370 en
dc.identifier.issn 2045-2322
dc.identifier.other PURE UUID: 4c6eabbf-9cc7-4830-bc83-4706fa563301
dc.identifier.other PURE ITEMURL:
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dc.description.abstract Social networks based on dyadic relationships are fundamentally important for understanding of human sociality. However, we have little understanding of the dynamics of close relationships and how these change over time. Evolutionary theory suggests that, even in monogamous mating systems, the pattern of investment in close relationships should vary across the lifespan when post-weaning investment plays an important role in maximising fitness. Mobile phone data sets provide a unique window into the structure and dynamics of relationships. We here use data from a large mobile phone dataset to demonstrate striking sex differences in the gender-bias of preferred relationships that reflect the way the reproductive investment strategies of both sexes change across the lifespan, i.e. women's shifting patterns of investment in reproduction and parental care. These results suggest that human social strategies may have more complex dynamics than previously assumed and a life-history perspective is crucial for understanding them. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries SCIENTIFIC REPORTS en
dc.relation.ispartofseries Volume 2 en
dc.rights openAccess en
dc.subject.other General en
dc.title Sex differences in intimate relationships en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department BECS
dc.contributor.department Northeastern University
dc.contributor.department University of Oxford
dc.contributor.department Department of Computer Science en
dc.subject.keyword General
dc.identifier.urn URN:NBN:fi:aalto-201701191158
dc.identifier.doi 10.1038/srep00370
dc.type.version publishedVersion

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