Title :
Composite Centrality: A Natural Scale for Complex Networks
Author :
Joseph, Alvin ; Guanrong Chen
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
Abstract :
We propose a composite centrality measure for general weighted and directed complex networks, based on measure standardisation and statistical normalization, whereby the composite measure is expected to follow a standard log-normal distribution. This offers a natural and absolute scale to measure node and edge centralities for complex networks. Considering snapshots of the world trade web, we demonstrate its working and introduce a standard set-up.
Keywords :
complex networks; directed graphs; log normal distribution; network theory (graphs); absolute scale; composite centrality measure; directed complex networks; general weighted networks; measure standardisation; natural scale; standard log normal distribution; statistical normalization; Complex networks; Educational institutions; Gaussian distribution; Graph theory; Log-normal distribution; Standards; Weight measurement; complex network mining; complex networks; composite centrality; statistics; universal scale; world trade web;
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-5152-2
DOI :
10.1109/SITIS.2012.112
