A New Method for Centrality Measurement Using Generalized Fuzzy Graphs-Reference-Cited by-同舟云学术

A New Method for Centrality Measurement Using Generalized Fuzzy Graphs

Published:2022-07-07 Issue: Volume:2022 Page:1-7
ISSN:1607-887X
Container-title:Discrete Dynamics in Nature and Society
language:en
Short-container-title:Discrete Dynamics in Nature and Society

Author:

Dhanalakshmi R.¹,Rashid Junaid²^ORCID,Kim Jungeun³^ORCID,Sivaraman Arun Kumar⁴,Naseem Usman⁵^ORCID,Vincent Rajiv⁴

Affiliation:

1. Department of Computer Science and Engineering, KCG College of Technology, Chennai, India

2. Department of Computer Science and Engineering, Kongju National University, Cheonan 31080, Republic of Korea

3. Department of Software, Department of Computer Science and Engineering, Kongju National University, Cheonan 31080, Republic of Korea

4. School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, India

5. Department of IT, Sydney International School of Technology and Commerce, Sydney, NSW 2000, Australia

Abstract

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.

Funder

Ministry of Science and ICT, South Korea

Publisher

Hindawi Limited

Subject

Modeling and Simulation

Link

http://downloads.hindawi.com/journals/ddns/2022/4704409.pdf

Reference46 articles.

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