Abstract

A graph is a block graph if its blocks are all cliques. In this paper, we study the average eccentricity of block graphs from the perspective of block order sequences. An equivalence relation is established under the block order sequence and used to prove the lower and upper bounds of the eccentricity on block graphs. The result is that the lower and upper bounds of the average eccentricity on block graphs are 1 and 1n⌊34n2−12n⌋, respectively, where n is the order of the block graph. Finally, we devise a linear time algorithm to calculate the block order sequence.

Highlights

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  • By Theorem 9, the transformation does not decrease the average eccentricity, so the upper bound on block graph set G(S) must be achieved by a path-like block graph in G(S)

  • Let PGmin max be path-like block graphs having, respectively, minimum and maximum average eccentricity on the set of block graphs with block order sequence S

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Summary

Introduction

Relying on a polynomial algorithm for the All-Pairs Shortest Paths Problem [2], the average eccentricity can be calculated in time complexity O(n3 log n) where n is the order of the graph. The properties, formulas, and bounds on the average eccentricity have recently been studied intensely [3–12]. Ahmad et al [18] studied the chemical graphs of copper oxide and carbon graphite They computed and gave close formulas of eccentricity based topological indices, such as total eccentricity index and average eccentricity index for chemical graphs of carbon graphite and copper oxide.

Preliminaries
Extremal Values on Block Graphs with Order n
Bounds on Block Graphs with a Fixed Block Order Sequence
The Lower Bound and Corresponding Extremal Graphs
The Upper Bound and Corresponding Extremal Graphs
Bounds and Extremal Graphs for Path-like Block Graphs
Formulas for the Average Eccentricity on Path-like Block Graphs with Given Block
Extremal Graphs for Path-like Block Graphs with Given Block Order Sequence
Bounds on Path-like Graphs with Order n
To Decide a Cut-Vertex
To Obtain a Block Order Sequence
Conclusions
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