Identifying and Analyzing Strong Components of an Industrial Network Based on Cycle Degree
المؤلفون المشاركون
Zhang, Zhiying
Chen, Xiaozhen
Xiao, Wenwen
Qi, Guijie
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-28
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118367
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر