U. Brandes. Journal of Mathematical Sociology, 25 (2):
163--177(2001)
Abstract
The betweenness centrality index is essential in the analysis of social networks, but costly to compute. Currently, the fastest known algorithms require #(n ) time and #(n ) space, where n is the number of actors in the network.
%0 Journal Article
%1 brandes2001faster
%A Brandes, U.
%D 2001
%J Journal of Mathematical Sociology
%K betweenness_centrality fast
%N 2
%P 163--177
%T A faster algorithm for betweenness centrality
%U http://citeseer.ist.psu.edu/brandes01faster.html
%V 25
%X The betweenness centrality index is essential in the analysis of social networks, but costly to compute. Currently, the fastest known algorithms require #(n ) time and #(n ) space, where n is the number of actors in the network.
@article{brandes2001faster,
abstract = {The betweenness centrality index is essential in the analysis of social networks, but costly to compute. Currently, the fastest known algorithms require #(n ) time and #(n ) space, where n is the number of actors in the network.},
added-at = {2011-01-28T11:34:35.000+0100},
author = {Brandes, U.},
biburl = {https://www.bibsonomy.org/bibtex/289019a800a0250d69afda3d11be16196/dbenz},
id = {297939},
interhash = {dff547c1a86412c8f3742aab68f7a243},
intrahash = {89019a800a0250d69afda3d11be16196},
journal = {Journal of Mathematical Sociology},
keywords = {betweenness_centrality fast},
number = 2,
pages = {163--177},
priority = {2},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {A faster algorithm for betweenness centrality},
url = {http://citeseer.ist.psu.edu/brandes01faster.html},
volume = 25,
year = 2001
}