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20242026
most citedAn iterative spectral algorithm for digraph clustering

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2026

Matrix concentration inequalities for time-inhomogeneous Markov chains

Luca Zanetti

We establish Chernoff-type bounds for the largest eigenvalue of sums of Hermitian random matrices generated by a time-inhomogeneous Markov chain. Our primary regime assumes a compa…

physics.soc-ph2025★ 1 cited

An iterative spectral algorithm for digraph clustering

James Martin, Tim Rogers, Luca Zanetti

Graph clustering is a fundamental technique in data analysis with applications in many different fields. While there is a large body of work on clustering undirected graphs, the pr…

physics.soc-ph2025

Percolation and localisation: Sub-leading eigenvalues of the nonbacktracking matrix

James Martin, Tim Rogers, Luca Zanetti

The spectrum of the nonbacktracking matrix associated to a network is known to contain fundamental information regarding percolation properties of the network. Indeed, the inverse…

cs.NI2025

Wireless Network Topology Inference: A Markov Chains Approach

James Martin, Tristan Pryer, Luca Zanetti

We address the problem of inferring the topology of a wireless network using limited observational data. Specifically, we assume that we can detect when a node is transmitting, but…

math.NA2024

Cycle-Free Polytopal Mesh Sweeping for Boltzmann Transport

Ansar Calloo, Matthew Evans, Henry Lockyer +3

We introduce a novel property of bounded Voronoi tessellations that enables cycle-free mesh sweeping algorithms. We prove that a topological sort of the dual graph of any Voronoi t…