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Author:

Ge, Zhiyuan (Ge, Zhiyuan.) | Zhao, Huiyuan (Zhao, Huiyuan.)

Indexed by:

EI Scopus

Abstract:

It is of great significance to discuss the interdisciplinary phenomenon and its regional differences for a comprehensive insight into the intersection and integration of disciplines in the field of science and technology. In this study, based on the text information of the National Nature Fund Project, the corpus is constructed by using keyword information, combined with TF-IDF algorithm to improve cosine similarity, and a region-specific measurement method of discipline intersection is proposed. Using this method, the interdisciplinary difference maps of this discipline among provinces, autonomous regions and municipalities directly under the Central Government in China are obtained, and the interdisciplinary and regional differences in this field are analyzed. The results show that management science has small-world characteristics, and there are great differences in the degree of discipline intersection among different regions, which verifies the effectiveness of the construction method of this study. © 2020 Published under licence by IOP Publishing Ltd.

Keyword:

Data Science Machine learning

Author Community:

  • [ 1 ] [Ge, Zhiyuan]College of Economic and Management, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhao, Huiyuan]College of Economic and Management, Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • [ge, zhiyuan]college of economic and management, beijing university of technology, beijing, china

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Source :

ISSN: 1742-6588

Year: 2020

Issue: 1

Volume: 1629

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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