activity
20202025
most citedNetwork-Based Prediction of the 2019-nCoV Epidemic Outbreak in the Chinese Province Hubei

34 citations · 54 across the 6 of their papers we have counts for

collaborators

6 papers

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…

math.DS2024

A minimal model for multigroup adaptive SIS epidemics

Massimo A. Achterberg, Mattia Sensi, Sara Sottile

We propose a generalization of the adaptive N-Intertwined Mean-Field Approximation (aNIMFA) model studied in Achterberg and Sensi (2023) to a heterogeneous network of communities.…

physics.soc-ph2023

Analytic solution of Markovian epidemics without re-infections on heterogeneous networks

Massimo A. Achterberg, Piet Van Mieghem

Most epidemic processes on networks can be modelled by a compartmental model, that specifies the spread of a disease in a population. The corresponding compartmental graph describe…

physics.soc-ph2023★ 10 cited

Minimizing the effective graph resistance by adding links is NP-hard

Robert E. Kooij, Massimo A. Achterberg

The effective graph resistance, also known as the Kirchhoff index, is metric that is used to quantify the robustness of a network. We show that the optimisation problem of minimizi…

math.DS2022★ 10 cited

A minimal model for adaptive SIS epidemics

Massimo A. Achterberg, Mattia Sensi

The interplay between disease spreading and personal risk perception is of key importance for modelling the spread of infectious diseases. We propose a planar system of ordinary di…

physics.soc-ph2020★ 34 cited

Network-Based Prediction of the 2019-nCoV Epidemic Outbreak in the Chinese Province Hubei

Bastian Prasse, Massimo A. Achterberg, Long Ma +1

At the moment of writing (12 February, 2020), the future evolution of the 2019-nCoV virus is unclear. Predictions of the further course of the epidemic are decisive to deploy targe…