2007
DOI: 10.1016/j.jctb.2006.03.007
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Tetravalent edge-transitive graphs of girth at most 4

Abstract: This is the first in the series of articles stemming from a systematical investigation of finite edge-transitive tetravalent graphs, undertaken recently by the authors. In this article, we study a special but important case in which the girth of such graphs is at most 4. In particular, we show that, except for a single arc-transitive graph on 14 vertices, every edge-transitive tetravalent graph of girth at most 4 is the skeleton of an arctransitive map on the torus or has one of these two properties:(1) there … Show more

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Cited by 43 publications
(60 citation statements)
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References 18 publications
(43 reference statements)
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“…The results of this paper confirm that the list given in [31] contains all 4-GHATs of order at most 100.…”
Section: Introductionsupporting
confidence: 79%
See 1 more Smart Citation
“…The results of this paper confirm that the list given in [31] contains all 4-GHATs of order at most 100.…”
Section: Introductionsupporting
confidence: 79%
“…We finish this section by mentioning an earlier attempt of Stephen Wilson and the first author of this paper to compile a census of all small edge-transitive graphs of valence 4, and thus, in particular, of all 4-GHATs; see [31]. The results of this paper confirm that the list given in [31] contains all 4-GHATs of order at most 100.…”
Section: Introductionsupporting
confidence: 53%
“…This paper continues work from [13,14], where the present authors introduced linking rings structures, that is, certain decompositions of tetravalent vertex-transitive graphs into cycles (see Definition 1.1 for a precise definition). Our original motivation for studying such structures stems from the desire to understand tetravalent semisymmetric graphs.…”
Section: Introductionmentioning
confidence: 61%
“…This will be proved by means of the socalled subdivided doubles, a construction that was introduced in [22] and that can be described as follows.…”
Section: Locally Arc-transitive Group Actions With Large Edge Kernelmentioning
confidence: 99%