Share Email Print
cover

Proceedings Paper

Evaluation of node importance based on topological potential in weighted complex networks
Author(s): Rui Sun; A-li Mu; Lin Li; Mi Zhong
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The unweighted networks only reflect the connection type between nodes and the network topology characteristics, by contrast, the weighted networks could describe the strength of interaction between nodes. For this reason, the weighted networks will give a better understanding of the characteristics of real-world networks and the complicated features of complex systems. The evaluation of node importance is a very meaningful research in weighted complex networks. This paper analyze the characteristics of weighted complex network and consider the effects of edge weights for the evaluation of node importance, introduces the idea of data field in theoretical physics and establishes the evaluation model of node importance in weighted complex network. Through the theoretical and experimental analysis, it is proved that this method can evaluate the importance of node in weighted complex network in a fast and accurate way, which is significant both to theory and practice.

Paper Details

Date Published: 13 January 2012
PDF: 7 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83492K (13 January 2012); doi: 10.1117/12.920232
Show Author Affiliations
Rui Sun, Sichuan Univ. (China)
A-li Mu, Sichuan Univ. (China)
Lin Li, Sichuan Univ. (China)
Mi Zhong, Sichuan Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

© SPIE. Terms of Use
Back to Top