Stability as a natural selection mechanism on interacting networks
arXiv:1007.2938 · doi:10.4279/PIP.020005
Abstract
Biological networks of interacting agents exhibit similar topological properties for a wide range of scales, from cellular to ecological levels, suggesting the existence of a common evolutionary origin. A general evolutionary mechanism based on global stability has been proposed recently [J I Perotti, O V Billoni, F A Tamarit, D R Chialvo, S A Cannas, Phys. Rev. Lett. 103, 108701 (2009)]. This mechanism is incorporated into a model of a growing network of interacting agents in which each new agent's membership in the network is determined by the agent's effect on the network's global stability. We show that, out of this stability constraint, several topological properties observed in biological networks emerge in a self organized manner. The influence of the stability selection mechanism on the dynamics associated to the resulting network is analyzed as well.
arXiv comment10 pages, 9 figures
References in corpus (15)
- Statistical mechanics of complex networks
- The structure and function of complex networks
- Hierarchical organization of modularity in metabolic networks
- The large-scale organization of metabolic networks
- Mixing patterns in networks
- Classes of behavior of small-world networks
- Hierarchical Organization in Complex Networks
- Scale-free brain functional networks
- Growing Scale-Free Networks with Small World Behavior
- Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions
- Complexity vs stability in small-world networks
- Emergent self-organized complex network topology out of stability constraints
- Topological features of proteins from amino acid residue networks
- Robust Emergent Activity in Dynamical Networks
- Assortative mixing by degree makes a network more unstable