Mission
The Section for Science of Complex Systems conducts quantitative complex systems research at the Medical University of Vienna - ranging from life science, quantitative social sciences, to applied mathematics and fundamental physics. The section is part of the Center for Medical Statistics, Informatics and Intelligent Systems.
Recent Publications
T.M. Pham, C.A. Alexander, J. Korbel, R. Hanel, and S. ThurnerBalance and fragmentation in societies with homophily and social balance
Scientific Reports 11, 17188, (2021) [bib]
@ARTICLE{pham2021bfs,
author = {Pham, T.M.~ and Alexander, C.A.~ and Korbel, J.~ and Hanel, R.~ and Thurner, S.~},
title = {Balance and fragmentation in societies with homophily and social balance},
journal = {Scientific Reports},
year = {2021},
volume = {11},
pages = {17188},
url = {https://www.nature.com/articles/s41598-021-96065-5}
}
N. Haug, L. Geyrhofer, A. Londei, E. Dervic, A. Desvars-Larrive, V. Loreto, B. Pinoir, S. Thurner, and P. Klimek
Ranking the effectiveness of worldwide COVID-19 government interventions
Nature Human Behavior 4, 1303-1312, (2020) [bib]
@ARTICLE{haug2020rew,
author = {Haug, N.~ and Geyrhofer, L.~ and Londei, A.~ and Dervic, E.~ and Desvars-Larrive, A.~ and Loreto, V.~ and Pinoir, B.~ and Thurner, S.~ and Klimek, P.~},
title = {Ranking the effectiveness of worldwide COVID-19 government interventions},
journal = {Nature Human Behavior},
year = {2020},
volume = {4},
number = {12},
pages = {1303--1312},
url = {https://www.nature.com/articles/s41562-020-01009-0}
}
A. Desvars-Larrive, E. Dervic, N. Haug, and N. N.
A structured open dataset of government interventions in response to COVID-19
Scientific Data 7, (2020) [bib]
@ARTICLE{desvarslarrive2020sod,
author = {Desvars-Larrive, A.~ and Dervic, E.~ and Haug, N.~ and N., N.~},
title = {A structured open dataset of government interventions in response to COVID-19},
journal = {Scientific Data},
year = {2020},
volume = {7},
number = {285},
url = {https://www.nature.com/articles/s41597-020-00609-9}
}
S. Thurner, P. Klimek, and R. Hanel
A network-based explanation of why most COVID-19 infection curves are linear
Proceedings of the National Academy of Sciences 117, 22684-22689, (2020) [bib]
@ARTICLE{thurner2020new,
author = {Thurner, S.~ and Klimek, P.~ and Hanel, R.~},
title = {A network-based explanation of why most COVID-19 infection curves are linear},
journal = {Proceedings of the National Academy of Sciences},
year = {2020},
volume = {117},
number = {37},
pages = {22684--22689},
url = {https://www.pnas.org/content/117/37/22684}
}
J. Korbel, S.D. Lindner, R. Hanel, and S. Thurner
Thermodynamics of structure-forming systems
Nature Communications 12, 1127, (2021) [bib]
@ARTICLE{korbel2021tss,
author = {Korbel, J.~ and Lindner, S.D.~ and Hanel, R.~ and Thurner, S.~},
title = {Thermodynamics of structure-forming systems},
journal = {Nature Communications},
year = {2021},
volume = {12},
pages = {1127},
url = {https://www.nature.com/articles/s41467-021-21272-7#Ack1}
}
R. Hanel and S. Thurner
Boosting test-efficiency by pooled testing strategies for SARS-CoV-2 - Formula for optimal pool size
PloS ONE 15, e0240652, (2020) [bib]
@ARTICLE{hanel2020btb,
author = {Hanel, R.~ and Thurner, S.~},
title = {Boosting test-efficiency by pooled testing strategies for SARS-CoV-2 - Formula for optimal pool size},
journal = {PloS ONE},
year = {2020},
volume = {15},
number = {11},
pages = {e0240652},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240652}
}
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