The Structure Analysis and Cluster Identification of Discipline
Based on Location Quotient and the Databases of ESI and
In Cites

Abstract

Abstract: In view of challenges facing library, in the era of cloud service and big data, to master data, the paper constructs a discipline location quotient model by means of citation analysis of ESI (Essential Science Indicators) and InCites databases. It selects 12 colleges and universities in Shanghai as an example, and calculates their discipline location quotient of 22 disciplines in ESI against the national scope. It then analyses the discipline structure and discipline cluster identification of Shanghai Universities by studying their relations with the top 1% ESI of the world, to provide a theoretical basis and data support of discipline service, discipline development and discipline adjustment.

Key words: , ESI, InCites, Discipline location quotient, Discipline cluster, Discipline structure, Data support

Dong Zheng’e, Chen Huilan. The Structure Analysis and Cluster Identification of Discipline Based on Location Quotient and the Databases of ESI and In Cites[J]. Libraly Journal, 2018, 37(2): 90-100.

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The Structure Analysis and Cluster Identification of Discipline Based on Location Quotient and the Databases of ESI and In Cites

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