Research Article | OPEN ACCESS
A Method for Measuring Node Importance in Hypernetwork Model
Quan Xiao
Department of Information Technology, Jiangxi Key Laboratory of Data and Knowledge Engineering,
Jiangxi University of Finance and Economics, China
Research Journal of Applied Sciences, Engineering and Technology 2013 2:568-573
Received: May 18, 2012 | Accepted: June 15, 2012 | Published: January 11, 2013
Abstract
This study is aiming at the central challenge for network analysis and application of how to identify key nodes in hypernetwork representations. Although there are many measuring methods based on traditional network, most of them use single criteria, which is often confronted with the problem of incomplete or inaccurate information on the structure of hyper network. In this study, a new multi-criteria measuring method with adjustable parameters is proposed, which takes the node degree, star degree and betweenness into considerations. According to the experimental results with a numerical example of hypernetwork, our method shows good performance on discrimination and precision to evaluate the importance of nodes as compared with several existing measuring methods for nodes in traditional network.
Keywords:
Hypernetwork, multi-criteria, node importance measuring,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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