collaborators

6 papers

math-ph2026

Flow Subgraphs and Flow Network Design under End-to-End Power Dissipation Constraints

Zhihao Qiu, Xinhan Liu, Rogier Noldus +1

We investigate how the underlying graph of a network supports a flow between a source node and a destination node and propose to compute the expected number of nodes and links that…

physics.soc-ph2026

Geometric Organization and Inference of Shortest Path Nodes in Soft Random Geometric Graphs

Zhihao Qiu, Sámuel G. Balogh, Xinhan Liu +2

The shortest path problem is related to many dynamic processes on networks, ranging from routing in communication networks to signaling in molecular interaction networks. When the…

physics.soc-ph2025

Corrigendum to "Degree-Based Approximations for Network Reliability Polynomials". Comment on J. Complex Networks 2025, 13, cnaf001

Xinhan Liu, Piet Van Mieghem

Our original paper \cite{VanMieghem2025} described the stochastic approximation in \cite[eq. (2.2)]{VanMieghem2025} and the first-…

eess.SY2025

Node Reliability: Approximation, Upper Bounds, and Applications to Network Robustness

Xinhan Liu, Robert Kooij, Piet Van Mieghem

This paper discusses the reliability of a graph in which the links are perfectly reliable but the nodes may fail with certain probability p. Calculating graph node reliability is a…

math.SP2025

Some Laplacian eigenvalues can be computed by matrix perturbation

Piet Van Mieghem, Yingyue Ke

Based on matrix perturbation theory, closed-form analytic expansions are studied for a Laplacian eigenvalue of an undirected, possibly weighted graph, which is close to a unique de…

math.CO2025

The spectral degree exponent of a graph

Massimo A. Achterberg, Piet Van Mieghem

We propose the spectral degree exponent as a novel graph metric. Although Hofmeister \cite{HofmeisterThesis} has studied the same metric, we generalise Hofmeister's work to weighte…