Nonlinear Phenomena in Complex Systems, 2007, Vol.10, No.1, pp.59-71

NONLINEAR PHENOMENA IN COMPLEX SYSTEMS
An Interdisciplinary Journal

2007, Vol.10, No.1, pp.59-71

Content-Based Networks - from Topology to Dynamics.
A. Erzan and D. Balcan

We outline the generic and rather universal scaling properties of content-based networks, which were introduced as realisations of biological networks involving recognition and binding between structures with a variable amount of shared information, or specificity. The external input to the model is the distribution of the specificity of the connections, which determines the topological properties of the network. Random evolution under duplication and divergence preserves the overall character of the degree distributions which emerge. Assigning Random Boolean functions to the nodes of this network leads to a rich dynamical behaviour. We find an intimate relationship between topology and dynamics, which needs to be further elucidated.
Key words: networks, evolution, Random Boolean Dynamics

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