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Graphs with minimum degree-entropy

  • Yanni Dong
  • , Maximilien Gadouleau
  • , Pengfei Wan*
  • , Shenggui Zhang
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

We continue studying extremal values of the degree-entropy, which is an information-theoretic measure defined as the Shannon entropy based on the information functional involving vertex degrees. For a graph with a given number of vertices and edges achieving the minimum entropy value, we show its unique structure. Also, a tight lower bound for the entropy in bipartite graphs with a given number of vertices and edges is proved. Our result directly derives the result of Cao et al. (2014) that for a tree with a given number of vertices, the minimum value of the entropy is attained if and only if the tree is the star.

Original languageEnglish
Article number120629
JournalInformation sciences
Volume671
Early online date15 Apr 2024
DOIs
Publication statusPublished - Jun 2024

Keywords

  • 2025 OA procedure
  • Graph entropy
  • Complexity measure
  • Extremal value

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