The largest component in a subcritical random graph with a power law degree distribution
arXiv:0708.4404 · doi:10.1214/07-AAP490
Abstract
It is shown that in a subcritical random graph with given vertex degrees satisfying a power law degree distribution with exponent , the largest component is of order . More precisely, the order of the largest component is approximatively given by a simple constant times the largest vertex degree. These results are extended to several other random graph models with power law degree distributions. This proves a conjecture by Durrett.
Published in at http://dx.doi.org/10.1214/07-AAP490 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
References in corpus (5)
- Random graphs with arbitrary degree distributions and their applications
- The phase transition in inhomogeneous random graphs
- Generating simple random graphs with prescribed degree distribution
- Universality for the distance in finite variance random graphs: Extended version
- On the largest component of a random graph with a subpower-law degree sequence in a subcritical phase
Cited by in corpus (9)
- Novel scaling limits for critical inhomogeneous random graphs
- Heavy-tailed configuration models at criticality
- Partition of Networks into Basins of Attraction
- Bounded-size rules: The barely subcritical regime
- On the largest component of a random graph with a subpower-law degree sequence in a subcritical phase
- Susceptible-Infected Epidemics on Evolving Graphs
- Phase transitions of extremal cuts for the configuration model
- Poisson approximation for cycles in the generalised random graph
- The largest subcritical component in inhomogeneous random graphs of preferential attachment type