Hu, Xiao-Bing, Shi, Peijun, Wang, Ming and Leeson, Mark S. (2018) Adaptive behaviors can improve the system consilience of a network system. Adaptive Behaviour, 26 (1). pp. 3-19. doi:10.1177/1059712317747951 ISSN 1059-7123.

Preview

PDF WRAP-Adaptive-behaviours-can-improve-system-Leeson-2017.pdf - Accepted Version - Requires a PDF viewer. Download (2200Kb) | Preview

Request Changes to record.

Abstract

As a recently reported network property, consilience degree (CSD) indicates how well a network system integrates its topology and node activities together to serve a specific systemic goal. As is well known, many natural and man-made systems are complex networks where, besides network topology, node activity states also play an important role in determining system performance. For example, a collaborative project involving friends is more likely to succeed than one involving enemies, even though the topology of network organization is the same. The concept of CSD can quantitatively distinguish the difference between the involvement of friends and the involvement of enemies. This article reports a simulation study on the adaptive behaviors of nodes based on the selfish rule and the following-others rule, and the simulation results show that based on such adaptive behaviors of nodes, a network system will automatically evolve to a high level of system consilience. The simulation study also demonstrates that a high level of system consilience resulting from adaptive behaviors will contribute to increased system resistance to external disturbances. The generality of adaptive behaviors in reality implies that CSD is an inherent attribute of real-world network systems, and therefore, the concept of CSD has significant application potential in the study of adaptive behaviors in network systems.

Item Type:	Journal Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	System analysis, Adaptability (Psychology), Social networks, Cooperation, Simulation methods
Journal or Publication Title:	Adaptive Behaviour
Publisher:	Sage Publications Ltd.
ISSN:	1059-7123
Official Date:	2018
Dates:	Date Event 2018 Published 21 December 2017 Available 21 December 2017 Accepted
Volume:	26
Number:	1
Page Range:	pp. 3-19
DOI:	10.1177/1059712317747951
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	19 February 2018
Date of first compliant Open Access:	20 February 2018
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID Grant no. 2016YFA0602404 National Key Research and Development Programme UNSPECIFIED Grant no. 61472041 National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809 Blue-Sky Scholar Research Start-Up Fund Civil Aviation University of China http://dx.doi.org/10.13039/501100002881

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads