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Massimo A. Achterberg

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Journal Articles

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2024
[j3]
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  - journals/ans/LiuAK24
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Xinhan Liu, Massimo A. Achterberg, Robert E. Kooij:
Mean-field dynamics of the non-consensus opinion model. Appl. Netw. Sci. 9(1): 47 (2024)
2023
[j2]
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  - journals/orl/KooijA23
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  - https://dblp.org/rec/journals/orl/KooijA23
Robert E. Kooij, Massimo A. Achterberg:
Minimizing the effective graph resistance by adding links is NP-hard. Oper. Res. Lett. 51(6): 601-604 (2023)
2020
[j1]
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  - journals/ans/PrasseAMM20
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Bastian Prasse, Massimo A. Achterberg, Long Ma, Piet Van Mieghem:
Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei. Appl. Netw. Sci. 5(1): 35 (2020)

Conference and Workshop Papers

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2022
[c2]
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  - conf/rndm/LiuAK22
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Xinhan Liu, Massimo A. Achterberg, Robert E. Kooij:
Non-Consensus Opinion Model with Byzantine Nodes. RNDM 2022: 1-7
2021
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  - conf/complexnetworks/ChangYSAWRM21
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Brian Chang, Liufei Yang, Mattia Sensi, Massimo A. Achterberg, Fenghua Wang, Marco Rinaldi, Piet Van Mieghem:
Markov Modulated Process to Model Human Mobility. COMPLEX NETWORKS 2021: 607-618

Informal and Other Publications

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2025
[i1]
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  - journals/corr/abs-2501-03363
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Massimo A. Achterberg, Robert E. Kooij:
On the non-submodularity of the problem of adding links to minimize the effective graph resistance. CoRR abs/2501.03363 (2025)

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