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Persistence of activity in threshold contact processes,an “Annealed approximation” of random Boolean networks
Authors:Shirshendu Chatterjee  Rick Durrett
Affiliation:1. School of O.R.I.E. and Department of Mathematics, Cornell University, Ithaca, New York 14853;2. Department of Mathematics, Duke University, Durham, North Carolina 27708
Abstract:We consider a model for gene regulatory networks that is a modification of Kauffmann's J Theor Biol 22 (1969), 437–467 random Boolean networks. There are three parameters: $n = {rm the}$equation image number of nodes, $r = {rm the}$equation image number of inputs to each node, and $p = {rm the}$equation image expected fraction of 1'sin the Boolean functions at each node. Following a standard practice in thephysics literature, we use a threshold contact process on a random graph on n nodes, in which each node has in degree r, to approximate its dynamics. We show that if $rge 3$equation image and $r cdot 2p(1-p)>1$equation image , then the threshold contact process persists for a long time, which correspond to chaotic behavior of the Boolean network. Unfortunately, we are only able to prove the persistence time is $ge exp(cn^{b(p)})$equation image with $b(p)>0$equation image when $rcdot 2p(1-p)> 1$equation image , and $b(p)=1$equation image when $(r-1)cdot 2p(1-p)>1$equation image . © 2011 Wiley Periodicals, Inc. Random Struct. Alg., 2011
Keywords:random graphs  threshold contact process  phase transition  random Boolean networks  gene regulatory networks
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