Bijective Single Valued Neutrosophic Graph and Its Application  in Fraud Detection Analysis in Social Networks

D.Rajalaxmi; R.Shivaragavi; Said Broumi

Bijective Single Valued Neutrosophic Graph and Its Application in Fraud Detection Analysis in Social Networks

Authors

D.Rajalaxmi PG and Research Department of Mathematics, Seethalakshmi Ramaswami College, Tiruchirappalli,(Affiliated to Bharathidasan University, Tiruchirappalli),
R.Shivaragavi PG and Research Department of Mathematics, Seethalakshmi Ramaswami College, Tiruchirappalli,(Affiliated to Bharathidasan University, Tiruchirappalli)
Said Broumi Department of Mathematics SIMATS Engineering ,Saveetha Institute of Medical and Technical Sciences Thandalam Chennai, Tamilnadu India; Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco

Keywords:

Bijective single valued neutrosophic sets; Bijective single valued neutrosophic graphs; Bijective single valued neutrosophic bridges; Bijective single valued neutrosophic cut vertex; height and depth.

Abstract

In this paper, a new concept of bijective single valued neutrosophic set and bijective single
valued neutrosophic graphs are introduced. Also, the height, depth, bijective single valued
neutrosophic bridge (BSVN – Bridge), bijective single valued neutrosophic cut vertex (BSVN – cut
vertex) in bijective single valued neutrosophic graphs are defined. Some properties of bijective
single valued neutrosophic cycles have been explored. Relation between Connectivity and BSVN
cut vertices, BSVN-Bridges are given. It contains few significant properties like, if  =

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Published

2025-06-01

Issue

Vol. 83 (2025): Neutrosophic Sets and Systems

Section

Article

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons Attribution (CC BY) license.

How to Cite

D.Rajalaxmi, R.Shivaragavi, & Said Broumi. (2025). Bijective Single Valued Neutrosophic Graph and Its Application in Fraud Detection Analysis in Social Networks . Neutrosophic Sets and Systems, 83, 883-894. https://fs.unm.edu/nss8/index.php/111/article/view/6185