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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gecow, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Fac. of Phys., Warsaw Univ. of Technol., Warsaw, Poland (Gecow, A.) |
| Abstract | Certain threshold on network size axis was observed in statistical mechanisms of adaptive evolution. Now it is investigated. This threshold is connected with maturation of chaos and lies far above the critical point of percolation. It can be treated as complexity threshold defining the term 'complex network' for Kauffman chaotic networks. Distributions of damage size are obtained using simulation for a representative set of network parameters and network types (including scale-free, RBN and networks with more than two signal variants) for network sizes up to 4000 nodes. Based on them a criterion of the threshold is sought. We do not find any critical point in the investigated area, however a certain practical criterion is proposed. It is zero occurrence in-between two peaks of damage size frequency - left of real fadeout of damage which is ordered behaviour and right of equilibrium level after damage avalanche which is chaotic behaviour. |
| Starting Page | 69 |
| Ending Page | 76 |
| File Size | 459126 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769536217 |
| DOI | 10.1109/CANS.2008.16 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-08 |
| Publisher Place | Romania |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Biomedical equipment complexity damage size Adaptive systems chaos damage spreading Medical services complex network Biomedical computing adaptive evolution Physics Boolean networks Kauffman network Complex networks Frequency Internet Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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