Nested Subgraphs of Complex Networks
arXiv:0712.0512 · doi:10.1088/1751-8113/41/38/385003
Abstract
We analytically explore the scaling properties of a general class of nested subgraphs in complex networks, which includes the -core and the -scaffold, among others. We name such class of subgraphs -nested subgraphs due to the fact that they generate families of subgraphs such that . Using the so-called {\em configuration model} it is shown that any family of nested subgraphs over a network with diverging second moment and finite first moment has infinite elements (i.e. lacking a percolation threshold). Moreover, for a scale-free network with the above properties, we show that any nested family of subgraphs is self-similar by looking at the degree distribution. Both numerical simulations and real data are analyzed and display good agreement with our theoretical predictions.
6 pages, 4 figures
References in corpus (11)
- Uncovering the overlapping community structure of complex networks in nature and society
- Random graphs with arbitrary degree distributions and their applications
- Network robustness and fragility: Percolation on random graphs
- Critical phenomena in complex networks
- Self-similar community structure in organisations
- Self-similarity of complex networks
- k-core organization of complex networks
- Skeleton and fractal scaling in complex networks
- k-core decomposition: a tool for the visualization of large scale networks
- k-core (bootstrap) percolation on complex networks: Critical phenomena and nonlocal effects
- K-Scaffold subgraphs of Complex networks