DocumentCode :
3274718
Title :
A Certain Complexity Threshold during Growth of Functioning Networks
Author :
Gecow, Andrzej
Author_Institution :
Fac. of Phys., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2008
fDate :
8-10 Nov. 2008
Firstpage :
69
Lastpage :
76
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.
Keywords :
complex networks; statistical analysis; Kauffman chaotic networks; RBN; adaptive evolution; complex network; complexity threshold; functioning networks; scale-free network; statistical mechanisms; Adaptive systems; Artificial intelligence; Biomedical computing; Biomedical equipment; Chaos; Complex networks; Frequency; Internet; Medical services; Physics; Boolean networks; Kauffman network; adaptive evolution; chaos; complex network; complexity; damage size; damage spreading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing, 2008. CANS '08. First International Conference on
Conference_Location :
Targu Mures, Mures
Print_ISBN :
978-0-7695-3621-7
Type :
conf
DOI :
10.1109/CANS.2008.16
Filename :
5231521
Link To Document :
بازگشت