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Predicting affinity ties in a surname network

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  • Marcelo Mendoza
  • Naim Bro

Abstract

From administrative registers of last names in Santiago, Chile, we create a surname affinity network that encodes socioeconomic data. This network is a multi-relational graph with nodes representing surnames and edges representing the prevalence of interactions between surnames by socioeconomic decile. We model the prediction of links as a knowledge base completion problem, and find that sharing neighbors is highly predictive of the formation of new links. Importantly, We distinguish between grounded neighbors and neighbors in the embedding space, and find that the latter is more predictive of tie formation. The paper discusses the implications of this finding in explaining the high levels of elite endogamy in Santiago.

Suggested Citation

  • Marcelo Mendoza & Naim Bro, 2021. "Predicting affinity ties in a surname network," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.
    • Handle: RePEc:plo:pone00:0256603
    DOI: 10.1371/journal.pone.0256603
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    References listed on IDEAS

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    1. Steven Goodreau & James Kitts & Martina Morris, 2009. "Birds of a feather, or friend of a friend? using exponential random graph models to investigate adolescent social networks," Demography, Springer;Population Association of America (PAA), vol. 46(1), pages 103-125, February.
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