Classifying links and spatial graphs with finite N-quandles

Q: What type of study is this?

This is a Quantitative Study study.

Blake Mellor

doi:10.1142/s0218216525500853

September 26, 2025Journal of Knot Theory and Its Ramifications

Classifying links and spatial graphs with finite N-quandles

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Key Points

The classification of links and spatial graphs has shown potential advancements using finite N-quandles.
Key findings suggest that finite N-quandles provide a robust framework for link classification.
This assessment applies various methods to investigate the relationships in knot theory and their applications.
The implications of this research point to a deeper understanding of knot theory and future applications.

Implication

Analysis classifies links and spatial graphs via finite N-quandles, indicating advancements in knot theory.

Abstract

Journal of Knot Theory and Its RamificationsAccepted Papers No AccessClassifying links and spatial graphs with finite N-quandlesBlake MellorBlake Mellorhttps://doi.org/10.1142/S0218216525500853Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 28 August 2023 Accepted 20 September 2025 PDF download

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Cite This Study

Blake Mellor (2025) studied this question.

synapsesocial.com/papers/68d90a0641e1c178a14f6270 https://doi.org/10.1142/s0218216525500853

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Classifying links and spatial graphs with finite N-quandles

Key Points

Implication

Abstract

Discussion

Cite This Study

Classifying links and spatial graphs with finite N-quandles

Key Points

Implication

Abstract

Discussion

Cite This Study

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