Optimal Design on Robustness of Scale-Free Networks Based on Degree Distribution
Joint Authors
Wang, Shuliang
Zhang, Jianhua
Wang, Yixing
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper uses 2-norm degree and coefficient of variation on degree to analyze the basic characteristics and to discuss the robustness of scale-free networks.
And we design two optimal nonlinear mixed integer programming schemes to investigate the optimal robustness and analyze the characteristic parameters of different schemes.
In this paper, we can obtain the optimal values of the corresponding parameters of optimal designs, and we find that coefficient of variation is a better measure than 2-norm degree and two-step degree to study the robustness of scale-free networks.
Meanwhile, we discover that there is a tradeoff among the robustness, the degree, and the cost of scale-free networks, and we find that when average degree equals 6, this point is a tradeoff point between the robustness and cost of scale-free networks.
American Psychological Association (APA)
Zhang, Jianhua& Wang, Shuliang& Wang, Yixing. 2016. Optimal Design on Robustness of Scale-Free Networks Based on Degree Distribution. Scientific Programming،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118293
Modern Language Association (MLA)
Zhang, Jianhua…[et al.]. Optimal Design on Robustness of Scale-Free Networks Based on Degree Distribution. Scientific Programming No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1118293
American Medical Association (AMA)
Zhang, Jianhua& Wang, Shuliang& Wang, Yixing. Optimal Design on Robustness of Scale-Free Networks Based on Degree Distribution. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118293
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118293