We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Predicting affinity ties in a surname network.
- Authors
Mendoza, Marcelo; Bro, Naim
- 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.
- Subjects
SANTIAGO (Chile); PERSONAL names; ENDOGAMY &; exogamy; KNOWLEDGE base; PREDICTION models; FORECASTING
- Publication
PLoS ONE, 2021, Vol 16, Issue 9, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0256603