Fretter, Christoph ; Szejka, Agnes ; Drossel, Barbara (2024)
Perturbation propagation in random and evolved Boolean networks.
In: New Journal of Physics, 2009, 11 (3)
doi: 10.26083/tuprints-00020559
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Perturbation propagation in random and evolved Boolean networks |
Language: | English |
Date: | 5 March 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2009 |
Place of primary publication: | London |
Publisher: | IOP Publishing |
Journal or Publication Title: | New Journal of Physics |
Volume of the journal: | 11 |
Issue Number: | 3 |
Collation: | 13 Seiten |
DOI: | 10.26083/tuprints-00020559 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | In this paper, we investigate the propagation of perturbations in Boolean networks by evaluating the Derrida plot and its modifications. We show that even small random Boolean networks agree well with the predictions of the annealed approximation, but nonrandom networks show a very different behaviour. We focus on networks that were evolved for high dynamical robustness. The most important conclusion is that the simple distinction between frozen, critical and chaotic networks is no longer useful, since such evolved networks can display the properties of all three types of networks. Furthermore, we evaluate a simplified empirical network and show how its specific state space properties are reflected in the modified Derrida plots. |
Identification Number: | Artikel-ID: 033005 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-205592 |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science 500 Science and mathematics > 530 Physics |
Divisions: | 05 Department of Physics > Institute for Condensed Matter Physics |
Date Deposited: | 05 Mar 2024 10:17 |
Last Modified: | 27 May 2024 08:17 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20559 |
PPN: | 518581128 |
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