Renormalization group for evolving networks
arXiv:cond-mat/0301008 · doi:10.1103/PhysRevE.67.045102
Abstract
We propose a renormalization group treatment of stochastically growing networks. As an example, we study percolation on growing scale-free networks in the framework of a real-space renormalization group approach. As a result, we find that the critical behavior of percolation on the growing networks differs from that in uncorrelated nets.
4 pages, 2 figures
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Cited by in corpus (14)
- Critical phenomena in complex networks
- Percolation on complex networks: Theory and application
- Maximal planar networks with large clustering coefficient and power-law degree distribution
- Evolving Apollonian Networks with Small-world Scale-free topologies
- Evolving small-world scale-free networks consist of cliques
- Evolving small-world networks with geographical attachment preference
- Fractal scale-free networks resistant to disease spread
- Percolation on branching simplicial and cell complexes and its relation to interdependent percolation
- Different thresholds of bond percolation in scale-free networks with identical degree sequence
- Minimal models of weighted scale-free networks
- Random Birth-and-Death Networks
- Hierarchical scale-free network is fragile against random failure
- Renormalization group theory of percolation on pseudo-fractal simplicial and cell complexes
- Network Renormalization