A New Method for Centrality Measurement Using Generalized Fuzzy Graphs

The fuzzy graph is the foundation of many actual structures such as networking, picture planning, and so on. Generalized fuzzy graphs (GFG) are ideal for avoiding certain constraints of fuzzy graphs. Social networks are a useful and powerful way to link citizens worldwide. A central person in a soci...

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Bibliographic Details
Published inDiscrete dynamics in nature and society Vol. 2022; no. 1
Main Authors Dhanalakshmi, R., Rashid, Junaid, Kim, Jungeun, Sivaraman, Arun Kumar, Naseem, Usman, Vincent, Rajiv
Format Journal Article
LanguageEnglish
Published New York Hindawi 01.01.2022
Hindawi Limited
Wiley
Subjects
Analysis
Fuzzy sets
Graphs
Measurement
Methods
Neighborhoods
Social networks
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Summary:The fuzzy graph is the foundation of many actual structures such as networking, picture planning, and so on. Generalized fuzzy graphs (GFG) are ideal for avoiding certain constraints of fuzzy graphs. Social networks are a useful and powerful way to link citizens worldwide. A central person in a social network is to deny the leading people in it. Different centrality steps have also been established over the years. We evaluated the centrality of the social network through a general fuzzy graph in this article. An application to detect the central person in any online group like WhatsApp is described in this study by using generalized fuzzy graphs. Also, a few important results are established in this study.
ISSN:1026-0226
1607-887X
DOI:10.1155/2022/4704409