Identifying and Analyzing Strong Components of an Industrial Network Based on Cycle Degree
Joint Authors
Zhang, Zhiying
Chen, Xiaozhen
Xiao, Wenwen
Qi, Guijie
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In the era of big data and cloud computing, data research focuses not only on describing the individual characteristics but also on depicting the relationships among individuals.
Studying dependence and constraint relationships among industries has aroused significant interest in the academic field.
From the network perspective, this paper tries to analyze industrial relational structures based on cycle degree.
The cycle degree of a vertex, that is, the number of cycles through a vertex in an industrial network, can describe the roles of the vertices of strong components in industrial circulation.
In most cases, different vertices in a strong component have different cycle degrees, and the one with a larger cycle degree plays more important roles.
However, the concept of cycle degree does not involve the lengths of the cycles, which are also important for circulations.
The more indirect the relationship between two industries is, the weaker it is.
In order to analyze strong components thoroughly, this paper proposes the concept of circular centrality taking into consideration the influence by two factors: the lengths and the numbers of cycles through a vertex.
Exemplification indicates that a profound analysis of strong components in an industrial network can reveal the features of an economy.
American Psychological Association (APA)
Zhang, Zhiying& Chen, Xiaozhen& Xiao, Wenwen& Qi, Guijie. 2016. Identifying and Analyzing Strong Components of an Industrial Network Based on Cycle Degree. Scientific Programming،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118367
Modern Language Association (MLA)
Zhang, Zhiying…[et al.]. Identifying and Analyzing Strong Components of an Industrial Network Based on Cycle Degree. Scientific Programming No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1118367
American Medical Association (AMA)
Zhang, Zhiying& Chen, Xiaozhen& Xiao, Wenwen& Qi, Guijie. Identifying and Analyzing Strong Components of an Industrial Network Based on Cycle Degree. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118367
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118367