2014
DOI: 10.14317/jami.2014.227
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The Normalized Laplacian Estrada Index of Graphs

Abstract: Suppose G is a simple graph. The ℓ−eigenvalues δ 1 , δ 2 , . . . , δn of G are the eigenvalues of its normalized Laplacian ℓ. The normalized Laplacian Estrada index of the graph G is defined as ℓEE = ℓEE(G) = Σ n i=1 e δ i . In this paper the basic properties of ℓEE are investigated. Moreover, some lower and upper bounds for the normalized Laplacian Estrada index in terms of the number of vertices, edges and the Randic index are obtained. In addition, some relations between ℓEE and graph energy E ℓ (G) are pre… Show more

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Cited by 4 publications
(8 citation statements)
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“…Similarly as commented at the end of the above section, for the static case of N = 1, some bounds for the normalized Laplacian Estrada index are reported in the literature by involving more complicated graph-theoretic parameters, including normalized Laplacian energy [ 22 ], and the Randic index [ 35 , 51 ], which are a bit cumbersome when large-scale network applications are taken into account.…”
Section: Resultsmentioning
confidence: 97%
See 2 more Smart Citations
“…Similarly as commented at the end of the above section, for the static case of N = 1, some bounds for the normalized Laplacian Estrada index are reported in the literature by involving more complicated graph-theoretic parameters, including normalized Laplacian energy [ 22 ], and the Randic index [ 35 , 51 ], which are a bit cumbersome when large-scale network applications are taken into account.…”
Section: Resultsmentioning
confidence: 97%
“…The normalized Laplacian Estrada index is put forward in [ 35 ] as See also [ 22 ] for an essentially equivalent definition. ℒ EE ( G ) has been addressed for a class of tree-like fractals [ 36 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors in [15] have introduced another variation to Estrada index namely normalized Laplacian Estrada index. For fundamental properties of EE one can also see [19], The normalized Laplacian matrix (G) = ( ij ) p×p where ij = 1 if i = j and deg…”
Section: Normalized Estrada Indexmentioning
confidence: 99%
“…This is one of the main reasons that motivated us to look at the generalized Petersen graph. Also see [4,30,18,1,15,19,6,7]. …”
Section: Normalized Estrada Indexmentioning
confidence: 99%