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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Olfati-Saber, R. |
| Copyright Year | 2005 |
| Description | Author affiliation: Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA (Olfati-Saber, R.) |
| Abstract | In this paper, we demonstrate a phase transition phenomenon in algebraic connectivity of small-world networks. Algebraic connectivity of a graph is the second smallest eigenvalue of its Laplacian matrix and a measure of speed of solving consensus problems in networks. We demonstrate that it is possible to dramatically increase the algebraic connectivity of a regular complex network by 1000 times or more without adding new links or nodes to the network. This implies that a consensus problem can be solved incredibly fast on certain small-world networks giving rise to a network design algorithm for ultra fast information networks. Our study relies on a procedure called "random rewiring" due to Watts & Strogatz (Nature, 1998). Extensive numerical results are provided to support our claims and conjectures. We prove that the mean of the bulk Laplacian spectrum of a complex network remains invariant under random rewiring. The same property only asymptotically holds for scale-free networks. A relationship between increasing the algebraic connectivity of complex networks and robustness to link and node failures is also shown. This is an alternative approach to the use of percolation theory for analysis of network robustness. We also show some connections between our conjectures and certain open problems in the theory of random matrices. |
| Sponsorship | American Automatic Control Council |
| Starting Page | 2371 |
| Ending Page | 2378 |
| File Size | 432679 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780390989 |
| ISSN | 07431619 |
| e-ISBN | 0780390997 |
| DOI | 10.1109/ACC.2005.1470321 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Intelligent networks Complex networks Laplace equations Robustness Power engineering and energy Oscillators Power system economics Power generation economics Control systems Eigenvalues and eigenfunctions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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