Construction and Analysis of Interdisciplinary Knowledge Flow Network Based on Co-occurrences of Funding Application Codes

  • Wu Jiang ,
  • Jin Miao ,
  • Chen Jun
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  • School of Information Management, Wuhan University, Wuhan 430072

Received date: 2016-02-01

  Revised date: 2016-03-20

  Online published: 2016-04-20

Abstract

[Purpose/significance] In the trend of disciplinary integration, scientists usually pursue interdisciplinary applications that lead to interdisciplinary knowledge sharing and knowledge flow. Out of the sight of citation and cooperation, this paper analyzes interdisciplinary knowledge flow in scientific funding to make suggestions to funding management. [Method/process] Based on 193517 sponsored projects of National Natural Science Foundation of China (NSFC), we propose an indicator to measure the interdisciplinary flow of knowledge and construct flow network to investigate the evolution of network structure and knowledge distributions across scientific disciplines using social network analysis. [Result/conclusion] It is found that the interdisciplinary knowledge flow network is a scale-free network. Its network size and structure have changed dramatically. Important nodes in the network are not stable. There exist several main knowledge flow paths across scientific departments, showing the heterogeneity of knowledge distributions. We find that if two disciplines in the same scientific department both have wide influence, they are prone to link together and create a knowledge chain.

Cite this article

Wu Jiang , Jin Miao , Chen Jun . Construction and Analysis of Interdisciplinary Knowledge Flow Network Based on Co-occurrences of Funding Application Codes[J]. Library and Information Service, 2016 , 60(8) : 79 -85 . DOI: 10.13266/j.issn.0252-3116.2016.08.009

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