principal eigenvector
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2021 ◽  
Vol 40 (1) ◽  
pp. 217-237
Author(s):  
Celso M. da Silva Jr. ◽  
Renata R. Del-Vecchio ◽  
Bruno B. Monteiro

In this work a new centrality measure of graphs is presented, based on the principal eigenvector of the distance matrix: spectral closeness. Using spectral graph theory, we show some of its properties and we compare the results of this new centrality with closeness centrality. In particular, we prove that for threshold graphs these two centralities always coincide. In addition we construct an infinity family of graphs for which these centralities never coincide.



2020 ◽  
Vol 554 ◽  
pp. 124169 ◽  
Author(s):  
Priodyuti Pradhan ◽  
Angeliya C.U. ◽  
Sarika Jalan


2020 ◽  
Vol 9 (4) ◽  
pp. 1553-1560
Author(s):  
B. Buzarbarua ◽  
P. Das




2020 ◽  
Vol 36 (4) ◽  
pp. 1177-1188
Author(s):  
Jie Xue ◽  
Ruifang Liu ◽  
Jinlong Shu




2017 ◽  
Vol 96 (2) ◽  
Author(s):  
Priodyuti Pradhan ◽  
Alok Yadav ◽  
Sanjiv K. Dwivedi ◽  
Sarika Jalan


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