Similarity and complementarity in generalized random geometric graphs

NetSciX 2026 Conference Submission149 Authors

Keywords: network geometry, network models, complementarity, clustering, motifs

TL;DR: We present the generalized random geometric graph framework, a maximum-entropy latent-space model that allows for interpolation between similarity- and complementarity-driven regimes.

Submission Number: 149