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

@article{Malmi2018ComputationallyIG,
  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},
  year={2018}
}
  • 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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    References

    SHOWING 1-3 OF 3 REFERENCES
    Marry Your Like: Assortative Mating and Income Inequality
    • 247
    • Highly Influential
    • PDF
    HISCO. Historical International Standard Classification of Occupations
    • 198
    • Highly Influential