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Characteristics of the network of scientific journals pertaining to Chinese patents

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  • Gao, Xia
  • Guan, Jiancheng

Abstract

We present the network of scientific journals pertaining to Chinese patent data in the period of 1995–2002, in which two journals are considered linked if they have been cited by a common patent. We study a variety of statistical properties of the network of scientific journals of China (NSJC), including degree distribution, local clustering and average degree of the nearest neighbors in the one-mode projected network. Besides this, we generate a weighted network for the NSJC in which the number of common patents citing two particular journals is mapped to line weights. For such a weighted network, distributions of weight, vertex strength, weight per degree, and the relationship between the vertex strength and degree have been analyzed. The above findings show that for the NSJC, small-world behavior is not distinct, while properties of random networks are observed.

Suggested Citation

  • Gao, Xia & Guan, Jiancheng, 2009. "Characteristics of the network of scientific journals pertaining to Chinese patents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4267-4272.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:19:p:4267-4272
    DOI: 10.1016/j.physa.2009.06.037
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    Cited by:

    1. Weiwei Liu & Yuan Tao & Zhile Yang & Kexin Bi, 2019. "Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China," Sustainability, MDPI, vol. 11(2), pages 1-18, January.

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