A latent space model with a reciprocity log odds ratio linear in squared latent distance can infer heterogeneous reciprocity patterns, and it finds opposite patterns in an information-sharing network and a high-school friendship network.
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A Latent Space Approach to Inferring Distance-Dependent Reciprocity in Directed Networks
A latent space model with a reciprocity log odds ratio linear in squared latent distance can infer heterogeneous reciprocity patterns, and it finds opposite patterns in an information-sharing network and a high-school friendship network.