Research on quantitative big data analysis of ideological and political education literature based on CiteSpace

Zi Wang; Dahuai Yu

doi:10.1117/12.2656838

20 October 2022 Research on quantitative big data analysis of ideological and political education literature based on CiteSpace

Zi Wang, Dahuai Yu

Author Affiliations +

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124513E (2022) https://doi.org/10.1117/12.2656838
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Based on 1200 journal papers retrieved from "big data" and "Ideological and political education" in the full-text database of CNKI from 2013 to October 2020, this paper uses the visual analysis software CiteSpace to mine and analyze the contents of journal documents in the field of Ideological and political education research, and uses the big data visual knowledge map to describe the internal relationship between various high-frequency keywords, so as to objectively reflect the basic situation of this research field, Hope to provide reference for researchers in this field.

Citation Download Citation

Zi Wang and Dahuai Yu "Research on quantitative big data analysis of ideological and political education literature based on CiteSpace", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124513E (20 October 2022); https://doi.org/10.1117/12.2656838

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