Laplacian spectral metrics of some graph operations

Zhen Lin; Min Cai

doi:10.1142/s1793830925501198

August 14, 2025Discrete Mathematics Algorithms and Applications

Laplacian spectral metrics of some graph operations

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Key Points

Laplacian spectral metrics provide essential insights into graph structures and behaviors, and affect algorithm efficiency.
The study explores multiple operations on graphs involving laplacian metrics, revealing their impact on connectivity and other properties.
Using mathematical algorithms, the analysis emphasizes laplacian metrics as key indicators in graph theory, enhancing our understanding of graph operations.
Understanding these metrics may enable more effective algorithm designs in computer science and related fields.

Implication

Analysis demonstrates laplacian spectral metrics across various graph operations, implying valuable insights for algorithm development.

Abstract

Discrete Mathematics, Algorithms and ApplicationsAccepted Papers No AccessLaplacian spectral metrics of some graph operationsZhen Lin and Min CaiZhen Lin and Min Cai Search for more papers by this author https://doi.org/10.1142/S1793830925501198Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 15 April 2025 Accepted 12 August 2025 PDF download

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Cite This Study

Lin et al. (2025) studied this question.

synapsesocial.com/papers/68af50a7ad7bf08b1ead8f01 https://doi.org/10.1142/s1793830925501198

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Laplacian spectral metrics of some graph operations

Key Points

Implication

Abstract

Discussion

Cite This Study

Laplacian spectral metrics of some graph operations

Key Points

Implication

Abstract

Discussion

Cite This Study

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