Please use this identifier to cite or link to this item:
doi:10.22028/D291-40458
Title: | Efficient simulation of non-Markovian dynamics on complex networks |
Author(s): | Großmann, Gerrit Bortolussi, Luca Wolf, Verena |
Language: | English |
Title: | PloS One |
Volume: | 15 |
Issue: | 10 |
Publisher/Platform: | Plos |
Year of Publication: | 2020 |
DDC notations: | 004 Computer science, internet |
Publikation type: | Journal Article |
Abstract: | We study continuous-time multi-agent models, where agents interact according to a network topology. At any point in time, each agent occupies a specific local node state. Agents change their state at random through interactions with neighboring agents. The time until a transition happens can follow an arbitrary probability density. Stochastic (Monte-Carlo) simulations are often the preferred—sometimes the only feasible—approach to study the complex emerging dynamical patterns of such systems. However, each simulation run comes with high computational costs mostly due to updating the instantaneous rates of interconnected agents after each transition. This work proposes a stochastic rejection-based, eventdriven simulation algorithm that scales extremely well with the size and connectivity of the underlying contact network and produces statistically correct samples. We demonstrate the effectiveness of our method on different information spreading models. |
DOI of the first publication: | 10.1371/journal.pone.0241394 |
URL of the first publication: | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241394 |
Link to this record: | urn:nbn:de:bsz:291--ds-404585 hdl:20.500.11880/36353 http://dx.doi.org/10.22028/D291-40458 |
ISSN: | 1932-6203 |
Date of registration: | 1-Sep-2023 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik |
Professorship: | MI - Prof. Dr. Verena Wolf |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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