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3 - Strong Regularity

Published online by Cambridge University Press:  15 May 2026

Zoran Stanić
Affiliation:
University of Belgrade, Serbia
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Summary

This chapter is devoted to the recently defined concept of strongly regular signed graphs (SRSGs), which generalizes the notion of strongly regular graphs from the domain of ordinary graphs. It presents the basic properties of SRSGs, provides specific constructions, and, as a fundamental result, classifies them into five disjoint classes. Each class is examined in detail, highlighting both similarities and distinctions with strongly regular graphs. The chapter also explores particular connections with 3-class association schemes, as well as constructions of signed Johnson and signed Hamming graphs. The concept of strong regularity is further combined with net regularity and walk regularity, with particular attention given to signed graphs that belong to the intersection of these classes. SRSGs with a small number of eigenvalues are analysed, accompanied by numerous illustrative constructions. For example, it has been shown that every connected signed graph with exactly two eigenvalues must be strongly regular.

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  • Strong Regularity
  • Zoran Stanić, University of Belgrade, Serbia
  • Book: Spectra of Signed Graphs
  • Online publication: 15 May 2026
  • Chapter DOI: https://doi.org/10.1017/9781009853316.004
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  • Strong Regularity
  • Zoran Stanić, University of Belgrade, Serbia
  • Book: Spectra of Signed Graphs
  • Online publication: 15 May 2026
  • Chapter DOI: https://doi.org/10.1017/9781009853316.004
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Strong Regularity
  • Zoran Stanić, University of Belgrade, Serbia
  • Book: Spectra of Signed Graphs
  • Online publication: 15 May 2026
  • Chapter DOI: https://doi.org/10.1017/9781009853316.004
Available formats
×