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Characterization of 2-Path Product Signed Graphs with Its Properties
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-06
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
A signed graph is a simple graph where each edge receives a sign positive or negative.
Such graphs are mainly used in social sciences where individuals represent vertices friendly relation between them as a positive edge and enmity as a negative edge.
In signed graphs, we define these relationships (edges) as of friendship (“+” edge) or hostility (“-” edge).
A 2-path product signed graph S#^S of a signed graph S is defined as follows: the vertex set is the same as S and two vertices are adjacent if and only if there exists a path of length two between them in S.
The sign of an edge is the product of marks of vertices in S where the mark of vertex u in S is the product of signs of all edges incident to the vertex.
In this paper, we give a characterization of 2-path product signed graphs.
Also, some other properties such as sign-compatibility and canonically-sign-compatibility of 2-path product signed graphs are discussed along with isomorphism and switching equivalence of this signed graph with 2-path signed graph.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sinha, Deepa& Sharma, Deepakshi. 2017. Characterization of 2-Path Product Signed Graphs with Its Properties. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139833
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sinha, Deepa& Sharma, Deepakshi. Characterization of 2-Path Product Signed Graphs with Its Properties. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1139833
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sinha, Deepa& Sharma, Deepakshi. Characterization of 2-Path Product Signed Graphs with Its Properties. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139833
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139833
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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