IJPAM: Volume 38, No. 4 (2007)

RECONSTRUCT THE HIERARCHICAL STRUCTURE OF
CHINESE NATURAL SCIENCE BASIC
RESEARCH NETWORK

Qiang Guo$^1$, Jian-Guo Liu$^{2}$
$^1$School of Science
Dalian Nationalities University
Dalian, 116600, P.R. CHINA
$^2$Institute of System Engineering
Dalian University of Technology
Dalian, 116024, P.R. CHINA
e-mail: liujg004@yahoo.com.cn


Abstract.In this paper, the hierarchical structure of Chinese natural science basic research network (CRN) is reconstructed based on the eigenvector centrality (EC) measure. The network is constructed by the way that two research areas are considered to be connected if they appear in one fund proposal. The network of such connections using data from 1999 to 2000 is constructed. The numerical results indicate that EC algorithm of the complex network is a reasonable method to solve the hierarchical reconstruction problem of CRN. The reconstruction result also shed some light on how to adjust the existing code system to reflect the real situation more accurately.

Received: June 20, 2007

AMS Subject Classification: 65Y05

Key Words and Phrases: complex networks, hierarchical reconstruction, clustering coefficient, community

Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2007
Volume: 38
Issue: 4