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This study identifies trees with specific characteristics that maximize the F-index, a graph measure. Researchers used edge swapping to find these extremal graph structures for network analysis.

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Area of Science:

  • Graph theory
  • Chemical graph theory
  • Network analysis

Background:

  • The F-index is a graph invariant used in chemical graph theory.
  • Extremal graph theory focuses on finding graphs with maximum or minimum properties.
  • Understanding graph structures is crucial for network analysis.

Purpose of the Study:

  • To determine the extremal values of the F-index for trees with specified order, number of pendent vertices, and diameter.
  • To identify specific tree structures that yield the maximum F-index under these constraints.
  • To investigate the top five maximum F-index values within classes of trees defined by their diameter.

Main Methods:

  • Utilizing edge swapping transformations on graph structures.
  • Applying combinatorial and graph-theoretic techniques.
  • Analyzing properties of trees based on order, pendent vertices, and diameter.

Main Results:

  • Characterization of trees with the greatest F-index for a given order, pendent vertices, and diameter.
  • Determination of the trees that maximize the F-index under these specific graph parameters.
  • Identification of the top five maximum F-index values for trees solely based on diameter.

Conclusions:

  • Edge swapping is an effective method for finding extremal graph invariants.
  • The F-index's value is highly dependent on the specific structure of the tree.
  • This research provides insights into the structural properties of graphs with high F-index values.