Identification of Knowledge Evolutionary Path Based on Topic Relevance:Taking the Case of 3D Printing Field

  • Zhu Na ,
  • Wang Fang
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  • Department of Information Resources Management, Business School, Nankai University, Tianjin 300071

Received date: 2016-01-13

  Revised date: 2016-02-20

  Online published: 2016-03-05

Abstract

[Purpose/significance] The research of static visualization on the knowledge evolutionary path has been unable to meet the needs of knowledge management, knowledge innovation and technological development.[Method/process] From the perspective of topics relevance, taking the case of 3D printing field, this paper identifies the scientific and technological innovation topics based on the LDA model and makes detailed analysis in every phase, probes the internal and external association strength of the topic clusters, and identifies the evolution ability and evolution type of topics in different life cycle.[Result/conclusion] Experimental results show that the method can build the knowledge evolutionary path based on the time series from the perspective of topic relevance. It can enrich the research methods of knowledge management and information measurement and help detecting the technological innovation in the practice.

Cite this article

Zhu Na , Wang Fang . Identification of Knowledge Evolutionary Path Based on Topic Relevance:Taking the Case of 3D Printing Field[J]. Library and Information Service, 2016 , 60(5) : 101 -109 . DOI: 10.13266/j.issn.0252-3116.2016.05.015

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