Articulation Points in Complex Networks
arXiv:1609.00094 · doi:10.1038/ncomms14223
Abstract
An articulation point in a network is a node whose removal disconnects the network. Those nodes play key roles in ensuring connectivity of many real-world networks, from infrastructure networks to protein interaction networks and terrorist communication networks. Despite their fundamental importance, a general framework of studying articulation points in complex networks is lacking. Here we develop analytical tools to study key issues pertinent to articulation points, e.g. the expected number of them and the network vulnerability against their removal, in an arbitrary complex network. We find that a greedy articulation point removal process provides us a novel perspective on the organizational principles of complex networks. Moreover, this process is associated with two fundamentally different types of percolation transitions with a rich phase diagram. Our results shed light on the design of more resilient infrastructure networks and the effective destruction of terrorist communication networks.
51 pages, 16 figures
References in corpus (7)
- Uncovering the overlapping community structure of complex networks in nature and society
- Critical phenomena in complex networks
- Clique percolation in random networks
- Recent advances in percolation theory and its applications
- Percolation on sparse networks
- Core percolation on complex networks
- Disruptions in the U.S. Airport Network
Cited by in corpus (10)
- Percolation on complex networks: Theory and application
- Underestimated cost of targeted attacks on complex networks
- Identifying vital nodes by Achlioptas process
- Distribution of shortest cycle lengths in random networks
- Statistical analysis of edges and bredges in configuration model networks
- The Fate of Articulation Points and Bredges in Percolation
- The distribution of shortest path lengths on trees of a given size in subcritical Erdos-Renyi networks
- Induced Percolation on Networked Systems
- Local Articulation Points in Complex Networks
- Identifying super-spreaders in information-epidemic coevolving dynamics on multiplex networks