Embeddings of Nation-Level Social Networks
For nation-scale networks, we present a layer-sensitive random walk, temporal alignment and partitioning techniques and evaluate them on 13 downstream tasks.
For nation-scale networks, we present a layer-sensitive random walk, temporal alignment and partitioning techniques and evaluate them on 13 downstream tasks.
We create network embeddings of the Dutch population, use them to predict voting behavior, and explore interpretability techniques for network embeddings.
Training vector representations on Dutch registry data.