Microdynamics and criticality of adaptive regulatory networks
Microdynamics and criticality of adaptive regulatory networks
We present a model of adaptive regulatory networks consisting of a simple biologically motivated rewiring procedure coupled to an elementary stability criterion. The resulting networks exhibit a characteristic stationary heavy-tailed degree distribution, show complex structural microdynamics, and self-organize to a dynamically critical state. We show analytically that the observed criticality results from the formation and breaking of transient feedback loops during the adaptive process
168701-[4pp]
MacArthur, Ben D.
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
Sanchez-Garcia, Ruben
8246cea2-ae1c-44f2-94e9-bacc9371c3ed
Ma’ayan, Avi
49ea105e-cb86-4d59-8655-5456e240dc7e
April 2010
MacArthur, Ben D.
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
Sanchez-Garcia, Ruben
8246cea2-ae1c-44f2-94e9-bacc9371c3ed
Ma’ayan, Avi
49ea105e-cb86-4d59-8655-5456e240dc7e
Abstract
We present a model of adaptive regulatory networks consisting of a simple biologically motivated rewiring procedure coupled to an elementary stability criterion. The resulting networks exhibit a characteristic stationary heavy-tailed degree distribution, show complex structural microdynamics, and self-organize to a dynamically critical state. We show analytically that the observed criticality results from the formation and breaking of transient feedback loops during the adaptive process
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Published date: April 2010
Organisations:
Medicine, Mathematics
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Local EPrints ID: 175697
URI: http://eprints.soton.ac.uk/id/eprint/175697
PURE UUID: 58249235-4d15-4e90-813e-fb1dd252b7b5
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Date deposited: 25 Feb 2011 14:58
Last modified: 14 Mar 2024 02:56
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Author:
Avi Ma’ayan
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