The eccentricity matrix E (G) of a connected graph G is obtained from the distance matrix of G by keeping the largest nonzero entries in each row and each column, and leaving zeros in …
W Wei, S Li, L Zhang - Discrete Mathematics, 2022 - Elsevier
The eccentricity matrix E (G) of a graph G is derived from the corresponding distance matrix by keeping only the largest non-zero elements for each row and each column and leaving …
X Lei, J Wang, G Li - Discrete Applied Mathematics, 2021 - Elsevier
The eccentricity matrix E (G)(Randić, 2013; Wang et al., 2018) is derived from the distance matrix by keeping for each row and each column only the largest distances and leaving …
X Yang, L Wang - Discrete Applied Mathematics, 2022 - Elsevier
The eccentricity matrix of a digraph is obtained from the distance matrix by keeping the largest distances in each row and each column, and leaving 0 in the remaining ones …
W Wei, S Li - Applied Mathematics and Computation, 2022 - Elsevier
The eccentricity matrix E (G) of a graph G is derived from the corresponding distance matrix by keeping only the largest non-zero elements for each row and each column and leaving …
X Lei, J Wang - Applied Mathematics and Computation, 2022 - Elsevier
The anti-adjacency matrix (or eccentricity matrix) of a graph is obtained from its distance matrix by retaining for each row and each column only the largest distances. This matrix can …
BA Rather, X Gao, J Wang - Discrete Applied Mathematics, 2024 - Elsevier
The spectral spread of the eccentricity matrix E (G) of a graph G is defined as the difference between the largest and the smallest eigenvalue of E (G). While the trace norm of the …
The eccentricity matrix ɛ (G) of a graph G is obtained from the distance matrix of G by retaining the largest distances in each row and each column, and leaving zeros in the …
S Sorgun, H Küçük - Discrete Applied Mathematics, 2023 - Elsevier
The anti-adjacency (aka eccentricity) matrix A (G) of a graph G is obtained from the distance matrix by retaining the eccentricities (the largest distance) in each row and each column …