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math.PR2025
Stationary distribution of node2vec random walks on household models
Lars Schroeder, Clara Stegehuis
The node2vec random walk has proven to be a key tool in network embedding algorithms. These random walks are tuneable, and their transition probabilities depend on the previous vis…
math.PR2024
Optimal subgraphs in geometric scale-free random graphs
Riccardo Michielan, Clara Stegehuis, Matthias Walter
Geometric scale-free random graphs are popular models for networks that exhibit as heavy-tailed degree distributions, small-worldness and high clustering. In these models, vertices…