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20242026
most citedUniversality of the local limit of preferential attachment models

1 citations · 1 across the 10 of their papers we have counts for

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math.PR2026

Logarithmic typical distances in preferential attachment models

Remco van der Hofstad, Haodong Zhu

We prove that the typical distances in a preferential attachment model with out-degree and strictly positive fitness parameter are close to , where is th…

math.PR2026

Power-law hypothesis and (un)fairness of PageRank on undirected multi-type PAMs

Christian Borgs, Florian Henning, Remco van der Hofstad +1

The preferential attachment model (PAM) describes the sequential growth of a network based on the "rich-get-richer" principle. Several versions of it have become established for mo…

math.PR2026

Network evolution with self-reinforcement

Shankar Bhamidi, Remco van der Hofstad, Frank den Hollander +1

We study a new class of preferential attachment trees with \emph{self-reinforcement}. At each time, each vertex is assigned a weight equal to the cumulative sum over past times of…

math.PR2026

The stochastic block model has the overlap graph property for modularity

Shankar Bhamidi, David Gamarnik, Remco van der Hofstad +4

The overlap gap property (OGP) is a statement about the geometry of near-optimal solutions. Exhibiting OGP implies failure of a class of local algorithms; and has been observed to…

math.PR2026

Clustering without geometry in sparse networks with independent edges

Alessio Catanzaro, Remco van der Hofstad, Diego Garlaschelli

The coexistence of sparsity and clustering (non-vanishing average fraction of triangles per node) is one of the few structural features that, irrespective of finer details, are ubi…

math.PR20261 cited

Universality of the local limit of preferential attachment models

Alessandro Garavaglia, Rajat Subhra Hazra, Remco van der Hofstad +1

We study preferential attachment models where vertices enter the network with i.i.d. random numbers of edges that we call the out-degree. We identify the local limit of such models…