Weighted network properties of Chinese nature science basic research

Jian-Guo Liu, Zhao-Guo Xuan, Yan-Zhong Dang, Qiang Guo and Zhong-Tuo Wang

Physica A: Statistical Mechanics and its Applications, 2007, vol. 377, issue 1, 302-314

Abstract: Using the requisition papers of Chinese Nature Science Basic Research in management and information department, we construct the weighted network of research areas (WNRA). In WNRA, two research areas, which is represented by the subject codes, are considered to be connected if they have been filled in one or more requisition papers. The edge weight is defined as the number of requisition papers which have been filled in the same pairs of codes. The node strength is defined as the number of requisition papers which have been filled in this code, including the papers which have been filled in it alone. Here we study a variety of nonlocal statistics for WNRA, such as typical distance between research areas and measure of centrality such as betweenness. These statistical characteristics can illuminate the global development trend of Chinese scientific study. It is also helpful to adjust the code system to reflect the real status more accurately. Finally, we present a plausible model for the formation and structure of WNRA with the observed properties.

Keywords: Complex networks; Chinese nature science basic research; Weighted networks (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:377:y:2007:i:1:p:302-314

DOI: 10.1016/j.physa.2006.11.011

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