2013
DOI: 10.1590/s0101-74382013005000012
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Measures of irregularity of graphs

Abstract: ABSTRACT.A graph is regular if every vertex is of the same degree. Otherwise, it is an irregular graph. Although there is a vast literature devoted to regular graphs, only a few papers approach the irregular ones. We have found four distinct graph invariants used to measure the irregularity of a graph. All of them are determined through either the average or the variance of the vertex degrees. Among them there is the index of the graph, a spectral parameter, which is given as a function of the maximum eigenval… Show more

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Cited by 6 publications
(7 citation statements)
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“…We can observe that these initiatives, when applied to some polynomial IMs, have resulted in extremal graphs with diversity equal to 2 -or, in another case, not larger than 4, for every order n, which seems contradictory in relation to the notion of irregularity, when considering its opposite -the regularity: regular graphs G have a single degree value, then ξ(G) = 1 for them. Details concerning the known extremal graph families for IMs are in [22]. i) [5] defined the variance measure, based on the variance of the vertex degree set,…”
Section: Irregularity Measuresmentioning
confidence: 99%
See 1 more Smart Citation
“…We can observe that these initiatives, when applied to some polynomial IMs, have resulted in extremal graphs with diversity equal to 2 -or, in another case, not larger than 4, for every order n, which seems contradictory in relation to the notion of irregularity, when considering its opposite -the regularity: regular graphs G have a single degree value, then ξ(G) = 1 for them. Details concerning the known extremal graph families for IMs are in [22]. i) [5] defined the variance measure, based on the variance of the vertex degree set,…”
Section: Irregularity Measuresmentioning
confidence: 99%
“…The first graph, from G (12,19), is not HI, although shown as such in the reference (each 5-degree vertex is connected to a pair of 5-degree vertices). The second one, from G (14,22), built by starting with the first, is HI. The third one, from G (26,25), is an HI tree [12], [2].…”
Section: Some Tests With Chosen Graphsmentioning
confidence: 99%
“…to be used as a measure of irregularity of G. It needs to be mentioned here that the degree deviation of G is actually n times the discrepancy of G [28,29]. Some mathematical properties of the degree deviation can be found in the survey [41] and papers [33,39].…”
Section: Introductionmentioning
confidence: 99%
“…This means that there is no single parameter that can be used to measure the irregularity of graphs. A relevant list of papers concerned with various irregularity measures, but hardly exhaustive, would include [1,5,8,10,11,15,16,21,23,24,33,34,39,41,[44][45][46].…”
Section: Introductionmentioning
confidence: 99%
“…Let k and n be integer numbers such that 0 ≤ k ≤ n. A graph S(n, k) is a split graph if there is a partition of its vertex set into a clique of order k and a stable set of order n − k. A complete split graph, CS(n, k), is a split graph such that each vertex of the clique is adjacent to each vertex of the stable set [5].…”
Section: Introductionmentioning
confidence: 99%