{"title":"A Certain Complexity Threshold during Growth of Functioning Networks","authors":"A. Gecow","doi":"10.1109/CANS.2008.16","DOIUrl":null,"url":null,"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.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"47 1","pages":"69-76"},"PeriodicalIF":2.6000,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Science & Complexity","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1109/CANS.2008.16","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 2
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.
期刊介绍:
The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are:
complex systems,
systems control,
operations research for complex systems,
economic and financial systems analysis,
statistics and data science,
computer mathematics,
systems security, coding theory and crypto-systems,
other topics related to systems science.