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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Timar, G. Balya, D. |
| Copyright Year | 2004 |
| Description | Author affiliation: AnaLogic & Neural Comput. Syst. Lab., Comput. & Autom. Inst. of the Hungarian Acad. of Sci., Budapest, Hungary (Timar, G.; Balya, D.) |
| Abstract | Small world networks have a peculiar property: even though almost all of their nodes are only locally connected, the average path length between two nodes is nearly as low as that of random networks. Networks of this type are ubiquitous in natural systems and frequently show interesting dynamics. We investigated the behavior of a new class of cellular nonlinear networks (CNNs) where all cells are locally connected to their nearest neighbors (as in a conventional CNN), but some of the nodes have long-range shortcuts as well. We give lower bounds on the number of extra links that must be added for a network to be considered as small-world and suggest an optimal topology for the added links. We also show some interesting behaviors of this network in diffusion and wave propagation phenomena. |
| Sponsorship | IEEE Circuits and Syst. Soc |
| File Size | 382135 |
| File Format | |
| ISBN | 078038251X |
| DOI | 10.1109/ISCAS.2004.1328685 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-23 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cellular neural networks Lattices Cellular networks Network topology Complex networks Laboratories Automation Nearest neighbor searches Diseases Image processing |
| Content Type | Text |
| Resource Type | Article |
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