标题:Identifying and Analyzing Strong Components of an Industrial Network Based on Cycle Degree
作者:Zhang, Zhiying; Chen, Xiaozhen; Xiao, Wenwen; Qi, Guijie
作者机构:[Zhang, Zhiying; Xiao, Wenwen; Qi, Guijie] Shandong Univ, Sch Management, Jinan 250100, Shandong, Peoples R China.; [Chen, Xiaozhen] Shandong Normal 更多
通讯作者:Chen, Xiaozhen
通讯作者地址:[Chen, XZ]Shandong Normal Univ, Sch Business, Jinan 250014, Shandong, Peoples R China.
来源:SCIENTIFIC PROGRAMMING
出版年:2016
卷:2016
DOI:10.1155/2016/7340859
摘要: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.
收录类别:EI;SCOPUS;SCIE;SSCI
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982791138&doi=10.1155%2f2016%2f7340859&partnerID=40&md5=4cf23fa59047bc1336e016685549710e
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