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math.PR2026

Infection models on dense dynamic random graphs

Simone Baldassarri, Peter Braunsteins, Frank den Hollander +1

We consider Susceptible-Infected-Recovered (SIR) models on dense dynamic random graphs, in which the joint dynamics of vertices and edges are co-evolutionary, i.e., they influence…

math.PR2026

Lévy-driven queuing networks in multi-scale light and heavy traffic

Krzysztof Dȩbicki, Nikolai Kriukov, Michel Mandjes

We study a queueing network with a strictly upper-triangular routing matrix, where each column contains at most one non-negative entry, and the root node receives input from a spec…

math.PR2025

Functional Central Limit Theorem for the simultaneous subgraph count of dynamic Erdős-Rényi random graphs

Rajat Subhra Hazra, Nikolai Kriukov, Michel Mandjes

In this paper we consider a dynamic Erdős-Rényi random graph with independent identically distributed edge processes. Our aim is to describe the joint evolution of the entries of…

math.PR2025

Functional central limit theorem for subgraph counts in a dynamic random connection model

Rajat Subhra Hazra, Nikolai Kriukov, Michel Mandjes +1

We prove a functional central limit theorem for subgraph counts in a dynamic version of the random connection model. To establish tightness, we develop a dynamic extension of the c…

math.PR2025

Parameter estimation in a dynamic Chung-Lu random graph

Rajat Subhra Hazra, Michel Mandjes, Jiesen Wang

In this paper we consider a dynamic version of the Chung-Lu random graph in which the edges alternate between being present and absent. The main contribution concerns a technique b…

math.PR2025

Inference for dynamic Erdős-Rényi random graphs under regime switching

Michel Mandjes, Jiesen Wang

This paper examines a model involving two dynamic Erdős-Rényi random graphs that evolve in parallel, with edges in each graph alternating between being present and absent accordi…