Search results
Results: 82
Number of items: 82
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Duan, W., Quax, R., Lees, M., Qiu, X., & Sloot, P. M. A. (2014). Topology dependent epidemic spreading velocity in weighted networks. Journal of Statistical Mechanics : Theory and Experiment, 2014(12), Article P12020. https://doi.org/10.1088/1742-5468/2014/12/P12020
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Jung, T. I., Vogiatzian, F., Har-Shemesh, O., Fitzsimons, C. P., & Quax, R. (2014). Applying Information Theory to Neuronal Networks: From Theory to Experiments. Entropy, 16(11), 5721-5737. https://doi.org/10.3390/e16115721 -
Quax, R., van de Vijver, D. A. M. C., Frentz, D., & Sloot, P. M. A. (2013). Inferring epidemiological parameters from phylogenetic information for the HIV-1 epidemic among MSM. The European Physical Journal - Special Topics, 222(6), 1347-1358. https://doi.org/10.1140/epjst/e2013-01930-0
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Quax, R., Apolloni, A., & Sloot, P. M. A. (2013). Towards understanding the behavior of physical systems using information theory. The European Physical Journal - Special Topics, 222(6), 1389-1401. https://doi.org/10.1140/epjst/e2013-01933-9
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Quax, R., Apolloni, A., & Sloot, P. M. A. (2013). The diminishing role of hubs in dynamical processes on complex networks. Journal of the Royal Society Interface, 10(88), 20130568. Article 20130568. https://doi.org/10.1098/rsif.2013.0568 -
Quax, R., Kandhai, D., & Sloot, P. M. A. (2013). Information dissipation as an early-warning signal for the Lehman Brothers collapse in financial time series. Scientific Reports, 3, Article 1898. https://doi.org/10.1038/srep01898 -
Sloot, P. M. A., & Quax, R. (2012). Information processing as a paradigm to model and simulate complex systems. Journal of Computational Science, 3(5), 247-249. https://doi.org/10.1016/j.jocs.2012.07.001
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Mei Shan, A., Quax, R., van de Vijver, D., Zhu, Y., & Sloot, P. M. A. (2011). Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam. BMC Infectious Diseases, 11(118). https://doi.org/10.1186/1471-2334-11-118 -
Quax, R., Bader, D. A., & Sloot, P. M. A. (2011). SEECN: simulating complex systems using dynamic complex networks. International Journal for Multiscale Computational Engineering, 9(2), 201-214. https://doi.org/10.1615/IntJMultCompEng.v9.i2.50
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