Computationally inferred genealogical networks uncover long-term trends in assortative mating

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMalmi, Ericen_US
dc.contributor.authorGionis, Aristidesen_US
dc.contributor.authorSolin, Arnoen_US
dc.contributor.departmentAdj. Prof. Gionis Aris groupen_US
dc.contributor.departmentHelsinki Institute for Information Technology (HIIT)en_US
dc.contributor.departmentProfessorship Solin A.en_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.date.accessioned2018-12-21T10:32:14Z
dc.date.available2018-12-21T10:32:14Z
dc.date.issued2018en_US
dc.description.abstractGenealogical networks, also known as family trees or population pedigrees, are commonly studied by genealogists wanting to know about their ancestry, but they also provide a valuable resource for disciplines such as digital demography, genetics, and computational social science. These networks are typically constructed by hand through a very time-consuming process, which requires comparing large numbers of historical records manually. We develop computational methods for automatically inferring large-scale genealogical networks. A comparison with human-constructed networks attests to the accuracy of the proposed methods. To demonstrate the applicability of the inferred large-scale genealogical networks, we present a longitudinal analysis on the mating patterns observed in a network. This analysis shows a consistent tendency of people choosing a spouse with a similar socioeconomic status, a phenomenon known as assortative mating. Interestingly, we do not observe this tendency to consistently decrease (nor increase) over our study period of 150 years.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.extent883-892
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMalmi , E , Gionis , A & Solin , A 2018 , Computationally inferred genealogical networks uncover long-term trends in assortative mating . in Proceedings of the International World Wide Web Conference (WWW) . ACM , pp. 883-892 , The Web Conference , Lyon , France , 23/04/2018 . https://doi.org/10.1145/3178876.3186136en
dc.identifier.doi10.1145/3178876.3186136en_US
dc.identifier.isbn978-1-4503-5639-8
dc.identifier.otherPURE UUID: 97e445d2-df87-44cf-af0f-50c786f132c3en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/97e445d2-df87-44cf-af0f-50c786f132c3en_US
dc.identifier.otherPURE LINK: https://arxiv.org/abs/1802.06055en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/30316632/p883_malmi.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/35691
dc.identifier.urnURN:NBN:fi:aalto-201812216700
dc.language.isoenen
dc.relation.ispartofInternational World Wide Web Conferenceen
dc.relation.ispartofseriesProceedings of the International World Wide Web Conference (WWW)en
dc.rightsopenAccessen
dc.subject.keywordgenealogyen_US
dc.subject.keywordfamily treeen_US
dc.subject.keywordpedigreeen_US
dc.subject.keywordpopulation reconstructionen_US
dc.subject.keywordprobabilistic record linkageen_US
dc.subject.keywordassortive matingen_US
dc.subject.keywordsocial stratificationen_US
dc.subject.keywordhomogamyen_US
dc.titleComputationally inferred genealogical networks uncover long-term trends in assortative matingen
dc.typeConference article in proceedingsfi
dc.type.versionpublishedVersion
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