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Analysis of Knowledge Map of Mandarin Research Based on CSSCI

Published: 24 March 2021 Publication History

Abstract

This article takes 607 Mandarin research-related documents, which were collected in the CSSCI database from 1998 to 2019, as the research object. With the help of the visualization technology of Vosviewer (1.6.15) and CiteSpace (5.7.R1), knowledge maps of authors, keywords, and references were drawn. Through the analysis and research of the maps, this paper tries to sort out the research status, research hotspots and development trends of Mandarin, expecting to provide a reference for the in-depth study of Mandarin and related fields.

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  1. Analysis of Knowledge Map of Mandarin Research Based on CSSCI

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    cover image ACM Other conferences
    EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
    December 2020
    718 pages
    ISBN:9781450389099
    DOI:10.1145/3453187
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Guilin: Guilin University of Technology, Guilin, China
    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 March 2021

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    Author Tags

    1. CSSCI
    2. CiteSpace
    3. Knowledge Map
    4. Visual Analysis
    5. Vosviewer

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    • Research-article
    • Research
    • Refereed limited

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    EBIMCS 2020

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    EBIMCS '20 Paper Acceptance Rate 112 of 566 submissions, 20%;
    Overall Acceptance Rate 143 of 708 submissions, 20%

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