Massimo Achterberg

I'm a PhD student in the Network, Architectures and Services group since November 2019. I am working on various projects related to the spread of infectious processes on networks. I am primarily interested in exact or approximate mathematical treatments of the Susceptible-Infected-Suceptible (SIS) model on static and adaptive networks, both for Markovian (stochastic) models and mean-field (deterministic) models.


Journal papers

  1. Moment closure approximations of susceptible-infected-susceptible epidemics on adaptive networks, M. A. Achterberg and P. Van Mieghem, Physical Review E 106, 014308, Jul 2022. (DOI)
  2. Analysis of continuous-time Markovian ε-SIS epidemics on networks, M. A. Achterberg, B. Prasse and P. Van Mieghem, Physical Review E 105, 054305, May 2022. (DOI)
  3. Accuracy of predicting epidemic outbreaks, B. Prasse, M. A. Achterberg and P. Van Mieghem, Physical Review E 105, 014302, Jan 2022. (DOI)
  4. Comparing the accuracy of several network-based COVID-19 prediction algorithms, M. A. Achterberg, B. Prasse, L. Ma, S. Trajanovski, M. Kitsak and P. Van Mieghem, International Journal of Forecasting, 38:2, Apr-Jun 2022. (DOI)
  5. Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei, B. Prasse, M. A. Achterberg, L. Ma and P. Van Mieghem, Applied Network Science 5:35, Jul 2020. (DOI)
  6. Classification of link-breaking and link-creation updating rules in susceptible-infected-susceptible epidemics on adaptive networks, M. A. Achterberg, J. L. A. Dubbeldam, C. J. Stam and P. Van Mieghem, Physical Review E 101, 052302, May 2020. (DOI)

Conference papers

  1. Non-Consensus Opinion Model with Byzantine Nodes, X. Liu, M. A. Achterberg and R. E. Kooij, Proceedings of the Twelfth International Workshop on Resilient Networks Design and Modeling, 19 - 21 September 2022, Compiègne, France. (Proceedings, DOI)
  2. Markov Modulated Process to model human mobility, B. Chang, L. Yang, M. Sensi, M. A. Achterberg, F. Wang, M. Rinaldi and P. Van Mieghem, Proceedings of the Tenth International Conference on Complex Networks and Their Applications, Complex Networks 2021, 30 November - 2 December 2021, Madrid, Spain. (Proceedings)


  1. Minimizing the effective graph resistance by adding links is NP-hard, R. E. Kooij and M. A. Achterberg, arXiv preprint 2302.12628, Feb 2023.
  2. A minimal model for adaptive SIS epidemics, M. A. Achterberg and M. Sensi, arXiv preprint 2209.01224, Sep 2022.
  3. Power-law decay in epidemics is likely due to interactions with the time-variant contact graph, P. Van Mieghem, M. A. Achterberg and Q. Liu, TU Delft Report, Dec 2020.


  1. Mean-field approximations of SIS epidemics on adaptive networks, M. A. Achterberg and P. Van Mieghem, Award for Best Contributed Talk at the SIAM Virtual Workshop on Network Science, 2022.

Other articles

  1. Tackling the COVID-19 Pandemic, published in Maxwell (23.4), magazine from the Electrotechnische Vereeniging, TU Delft, Jul 2020.



Short CV

2019 - Present

Network Architecture and Services, Delft University of Technology, Delft, The Netherlands
PhD in Modelling Spreading Processes on Adaptive Networks

2017 - 2019

Delft University of Technology, Delft, The Netherlands
MSc cum laude in Applied Mathematics, specialisation Mathematical Physics

2014 - 2017

Delft University of Technology, Delft, The Netherlands
BSc in Applied Mathematics
BSc in Applied Physics


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