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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

124 Lataukset (Pure)

Abstrakti

Genealogical 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.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the International World Wide Web Conference (WWW)
KustantajaACM
Sivut883-892
Sivumäärä10
ISBN (elektroninen)978-1-4503-5639-8
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaINTERNATIONAL WORLD WIDE WEB CONFERENCE - Lyon, Ranska
Kesto: 23 huhtikuuta 201827 huhtikuuta 2018
https://www2018.thewebconf.org

Conference

ConferenceINTERNATIONAL WORLD WIDE WEB CONFERENCE
LyhennettäWWW
MaaRanska
KaupunkiLyon
Ajanjakso23/04/201827/04/2018
www-osoite

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