Population-Scale Network Embeddings Expose Educational Divides in Network Structure Related to Right-Wing Populist Voting

ArXi:2508.21236v3 Announce Type: replace-cross Administrative registry data can be used to construct population-scale networks whose ties reflect shared social contexts between persons. With machine learning, such networks can be encoded into numerical representations -- embeddings -- that automatically capture an individual's position within the network. We created embeddings for all persons in the Dutch population from a population-scale network that represents five shared contexts: neighborhood, work, family, household, and school.