1.1k citations · 6.7k across the 76 of their papers we have counts for
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Sampling biases in sprinkled causal sets
Marián Boguñá, Dmitri Krioukov
Poisson sprinkling provides a Lorentz-invariant way of generating causal sets from a continuum spacetime, but numerical work necessarily restricts the sprinkling to a finite region…
Percolation in the Stochastic Block Model
Luca Pieleanu, Moritz Laber, Narayan G. Sabhahit +1
The stochastic block model is a paradigmatic model of networks with community structure. Yet percolation in the model has been studied primarily in cases with a fixed block structu…
The rank and layer distributions in random recursive trees
Huck Stepanyants, P. L. Krapivsky, Harrison Hartle +1
The distribution of node depths in a network is crucial for analyzing network structure. Two measures, rank and layer, quantify how deep inside a network a node is. The rank is the…