Tracing knowledge diffusion

Chaomei Chen () and Diana Hicks
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Chaomei Chen: College of Information Science and Technology, Drexel University
Diana Hicks: School of Public Policy, Georgia Institute of Technology

Scientometrics, 2004, vol. 59, issue 2, No 2, 199-211

Abstract: Abstract Knowledge diffusion is the adaptation of knowledge in a broad range of scientific and engineering research and development. Tracing knowledge diffusion between science and technology is a challenging issue due to the complexity of identifying emerging patterns in a diverse range of possible processes. In this article, we describe an approach that combines complex network theory, network visualization, and patent citation analysis in order to improve the means for the study of knowledge diffusion. In particular, we analyze patent citations in the field of tissue engineering. We emphasize that this is the beginning of a longer-term endeavor that aims to develop and deploy effective, progressive, and explanatory visualization techniques for us to capture the dynamics of the evolution of patent citation networks. The work has practical implications on resource allocation, strategic planning, and science policy.

Date: 2004
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DOI: 10.1023/B:SCIE.0000018528.59913.48

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