Analysis of attractor distances in Random Boolean Networks

Details Analysis of attractor distances in Random Boolean Networks Analysis of attractor distances in Random Boolean Networks

2010-11-21

arxiv.org/abs/1011.4682v1

Computer Science

Neural and Evolutionary Computing

9 pages, 6 figures. Presented at WIRN 2010 - Italian workshop on neural networks, May 2010. To appear in a volume published by

Scientific paper

We study the properties of the distance between attractors in Random Boolean Networks, a prominent model of genetic regulatory networks. We define three distance measures, upon which attractor distance matrices are constructed and their main statistic parameters are computed. The experimental analysis shows that ordered networks have a very clustered set of attractors, while chaotic networks' attractors are scattered; critical networks show, instead, a pattern with characteristics of both ordered and chaotic networks.

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