Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating

@inproceedings{Malmi2018ComputationallyIG,
  title={Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating},
  author={Eric Malmi and Aristides Gionis and Arno Solin},
  booktitle={WWW},
  year={2018}
}
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… CONTINUE READING
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