Dynamics of content-based networks

Authors:
Duygu Balcan;Ayşe Erzan
Affiliations:
Department of Physics, Faculty of Sciences and Letters, Istanbul Technical University, Maslak, Istanbul, Turkey;Department of Physics, Faculty of Sciences and Letters, Istanbul Technical University, Maslak, Istanbul, Turkey
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Year:
2006

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Abstract

Content-based networks are introduced and their topological properties are outlined. A content-based model with Random Boolean dynamics, designed to mimic the gene regulation network, exhibits an increase in the number and complexity of attractors for increasing number of nodes. However, contrary to expectations based on Mean Field calculations for random scale-free networks, the attractors are not chaotic, even for average connectivities in excess of 2. Thus, the present model offers a promising tool for understanding complex biological networks.