K-core Organization of Complex Networks
@article{Dorogovtsev2006KcoreOO, title={K-core Organization of Complex Networks}, author={Sergey N. Dorogovtsev and Alexander V. Goltsev and Jos{\'e} F. F. Mendes}, journal={Physical review letters}, year={2006}, volume={96 4}, pages={ 040601 } }
We analytically describe the architecture of randomly damaged uncorrelated networks as a set of successively enclosed substructures--k-cores. The k-core is the largest subgraph where vertices have at least k interconnections. We find the structure of k-cores, their sizes, and their birthpoints--the bootstrap percolation thresholds. We show that in networks with a finite mean number zeta2 of the second-nearest neighbors, the emergence of a k-core is a hybrid phase transition. In contrast, if…
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References
SHOWING 1-10 OF 57 REFERENCES
Nested subgraphs of complex networks
- Mathematics
- 2008
We analytically explore the scaling properties of a general class of nested subgraphs in complex networks, which includes the K-core and the K-scaffold, among others. We name such a class of…
k-core (bootstrap) percolation on complex networks: Critical phenomena and nonlocal effects
- PhysicsPhysical review. E, Statistical, nonlinear, and soft matter physics
- 2006
The theory of the -core (bootstrap) percolation on uncorrelated random networks with arbitrary degree distributions is developed and it is demonstrated that a so-called "corona" of the k-core plays a crucial role.
Clique percolation in random networks.
- MathematicsPhysical review letters
- 2005
Why clique percolation is a novel and efficient approach to the identification of overlapping communities in large real networks is discussed.
A model of Internet topology using k-shell decomposition
- Computer ScienceProceedings of the National Academy of Sciences
- 2007
This analysis uses information on the connectivity of the network shells to separate, in a unique (no parameters) way, the Internet into three subcomponents: a nucleus that is a small, very well connected globally distributed subgraph; a fractal subcomponent that is able to connect the bulk of the Internet without congesting the nucleus, with self-similar properties and critical exponents predicted from percolation theory.
Evolution of networks
- Computer Science
- 2002
The recent rapid progress in the statistical physics of evolving networks is reviewed, and how growing networks self-organize into scale-free structures is discussed, and the role of the mechanism of preferential linking is investigated.
Clustering in complex networks. II. Percolation properties.
- Computer SciencePhysical review. E, Statistical, nonlinear, and soft matter physics
- 2006
It is shown that weak clustering hinders the onset of the giant component whereas strong clustering favors its appearance, a direct consequence of the differences in the k -core structure of the networks, which are found to be totally different depending on the level of clustering.
K-core decomposition of Internet graphs: hierarchies, self-similarity and measurement biases
- Computer ScienceNetworks Heterog. Media
- 2008
It is found that the k-core analysis provides an interesting characterization of the fluctuations and incompleteness of maps as well as information helping to discriminate the original underlying structure.
Resilience of the internet to random breakdowns
- Computer SciencePhysical review letters
- 2000
This work shows analytically and numerically that for alpha</=3 the transition never takes place, unless the network is finite, and finds that the physical structure of the Internet is impressively robust, with p(c)>0.99.
Critical phenomena in complex networks
- PhysicsArXiv
- 2007
A wide range of critical phenomena in equilibrium and growing networks including the birth of the giant connected component, percolation, $k$-core percolations, phenomena near epidemic thresholds, condensation transitions,critical phenomena in spin models placed on networks, synchronization, and self-organized criticality effects in interacting systems on networks are mentioned.