Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
978400 | Physica A: Statistical Mechanics and its Applications | 2007 | 10 Pages |
Abstract
Networks generated by local-world evolving network model display a transition from exponential network to power-law network with respect to connectivity distribution. We investigate statistical properties of the evolving networks and the responses of these networks under random errors and intentional attacks. It has been found that local world size M has great effect on the network's heterogeneity, thus leading to transitional behaviors in network's robustness against errors and attacks. Numerical results show that networks constructed with local preferential attachment mechanism can maintain the robustness of scale-free networks under random errors and concurrently improve reliance against targeted attacks on highly connected nodes.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Shiwen Sun, Zhongxin Liu, Zengqiang Chen, Zhuzhi Yuan,