Predicting affinity ties in a surname network
Date Issued
2021-09
Author(s) USM
Mendoza, Marcelo
DOI
10.1371/journal.pone.0256603
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 intera
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