DocumentCode
1797354
Title
A credible property of resistance distance on real-world networks
Author
Yun-Yan Xiong ; Dong Han ; Yi-Jun Mao
Author_Institution
Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume
1
fYear
2014
fDate
13-16 July 2014
Firstpage
94
Lastpage
97
Abstract
On the basis of introducing the development of resistance distance, an important property of resistance distance was discussed. That is, Vertices in the same cluster of a graph have a small commute distance, whereas two vertices in different clusters of a graph have a “large” commute distance. The credible property was proved to be flawed on random geometric graphs by a research team. For the corrections of resistance distance mentioned by the research team, some experiments were made on real-world network data sets instead. The experiments showed that the property did not hold on rather small real-world network. Moreover, the computation results showed that the correction by von Luxburg did better than the correction by Brand.
Keywords
geometry; graph theory; network theory (graphs); commute distance; credible property; graph clusters; graph vertices; random geometric graphs; real-world networks; resistance distance; Abstracts; Chemistry; Dolphins; Europe; Community; Laplacian matrix; Resistance distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location
Lanzhou
ISSN
2160-133X
Print_ISBN
978-1-4799-4216-9
Type
conf
DOI
10.1109/ICMLC.2014.7009098
Filename
7009098
Link To Document