2005
DOI: 10.1007/s10910-005-9026-0
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Connections between Wiener index and matchings

Abstract: Let T be an acyclic molecule with n vertices, and let S(T ) be the acyclic molecule obtained from T by replacing each edge of T by a path of length two. In this work, we show that the Wiener index of T can be explained as the number of matchings with n − 2 edges in S(T ). Furthermore, some related results are also obtained.

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Cited by 37 publications
(12 citation statements)
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“…If G is a tree, the coefficient c 2 is equal to its Wiener index, which is the sum of distances between all pairs of vertices [17]. In other words, we have Let η denote the nullity of the matrix Q(G).…”
Section: Elamentioning
confidence: 99%
“…If G is a tree, the coefficient c 2 is equal to its Wiener index, which is the sum of distances between all pairs of vertices [17]. In other words, we have Let η denote the nullity of the matrix Q(G).…”
Section: Elamentioning
confidence: 99%
“…(The Wiener‐index of a graph is the sum x,yd(x,y), where d(x,y) is the distance of the vertices x and y .) One can consider Theorem as a generalization of this fact since the signless coefficient of x 2 in the Laplacian polynomial is just the Wiener‐index (see ). Theorem (Second part.) a(T)a(T).…”
Section: The Laplacian Characteristic Polynomialmentioning
confidence: 99%
“…In particular, we have c 0 = 1, c n = 0, c 1 = 2|E(G)|, c n−1 = nτ (G), where τ (G) is the number of spanning trees of G (see [9]). If G is a tree, the Laplacian coefficient c n−2 is equal to its Wiener index, which is the sum of all distances between unordered pairs of vertices of G (see [1], [15]). In general, Laplacian coefficients c k can be expressed in terms of subtree structures of G.…”
Section: Introductionmentioning
confidence: 99%