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

  title={Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating},
  author={Eric Malmi and A. Gionis and A. Solin},
  journal={Proceedings of the 2018 World Wide Web Conference},
  • Eric Malmi, A. Gionis, A. Solin
  • Published 2018
  • Computer Science, Physics, Biology, Geography
  • Proceedings of the 2018 World Wide Web Conference
  • 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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