Eccentric connectivity index

preprint2011arXivOpen access

Abstract

The eccentric connectivity index ξcξ^c is a novel distance--based molecular structure descriptor that was recently used for mathematical modeling of biological activities of diverse nature. It is defined as ξc(G)=∑v∈V(G)deg(v)⋅ε(v)ξ^c (G) = \sum_{v \in V (G)} deg (v) \cdot ε(v)\,, where deg(v)deg (v) and ε(v)ε(v) denote the vertex degree and eccentricity of vv\,, respectively. We survey some mathematical properties of this index and furthermore support the use of eccentric connectivity index as topological structure descriptor. We present the extremal trees and unicyclic graphs with maximum and minimum eccentric connectivity index subject to the certain graph constraints. Sharp lower and asymptotic upper bound for all graphs are given and various connections with other important graph invariants are established. In addition, we present explicit formulae for the values of eccentric connectivity index for several families of composite graphs and designed a linear algorithm for calculating the eccentric connectivity index of trees. Some open problems and related indices for further study are also listed.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.