2006
DOI: 10.1016/j.disc.2006.03.066
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Distance-balanced graphs: Symmetry conditions

Abstract: A graph X is said to be distance-balanced if for any edge uv of X, the number of vertices closer to u than to v is equal to the number of vertices closer to v than to u. A graph X is said to be strongly distance-balanced if for any edge uv of X and any integer k, the number of vertices at distance k from u and at distance k + 1 from v is equal to the number of vertices at distance k + 1 from u and at distance k from v. Obviously, being distance-balanced is metrically a weaker condition than being strongly dist… Show more

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Cited by 45 publications
(45 citation statements)
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References 38 publications
(25 reference statements)
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“…As GP(n, 1) is vertex-transitive, it is SDB by [13,Corollary 2.2]. To see that GP(n, 1) is not NDB, consider the edge u 0 v 0 .…”
Section: Lemma 31 Let N ≥ 3 Denote An Odd Integer the Generalized mentioning
confidence: 96%
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“…As GP(n, 1) is vertex-transitive, it is SDB by [13,Corollary 2.2]. To see that GP(n, 1) is not NDB, consider the edge u 0 v 0 .…”
Section: Lemma 31 Let N ≥ 3 Denote An Odd Integer the Generalized mentioning
confidence: 96%
“…A regular edge-transitive graph which is not vertex-transitive is called semisymmetric. In [13] it is proved that vertex-transitive graphs are not only DB; they are also SDB. But there are infinitely many semisymmetric graphs which are not DB, as well as there are infinitely many semisymmetric graphs which are DB.…”
Section: Symmetry and Ndb Graphsmentioning
confidence: 98%
See 1 more Smart Citation
“…family of distance-balanced graphs is very rich (for instance, every distance-regular graph as well as every vertex-transitive graph has this property [13]). In the literature these graphs were studied from various purely graph-theoretic aspects such as symmetry [13], connectivity [9,16] or complexity aspects of algorithms related to such graphs [6], to name just a few.…”
mentioning
confidence: 99%
“…In the literature these graphs were studied from various purely graph-theoretic aspects such as symmetry [13], connectivity [9,16] or complexity aspects of algorithms related to such graphs [6], to name just a few. However, it turns out that these graphs have applications in other areas, such as mathematical chemistry (see for instance [3,11,12]) and communication networks (see for instance [3]).…”
mentioning
confidence: 99%