Evaluation of the Knowledge Exchange Efficiency in Academic Virtual Community Based on Expanded Keyword Metrics Analysis

Authors

Shuqing LI, Nanjing University of Finance and Economics,Nanjing 210023
Zihao YAN, Nanjing University of Finance and Economics,Nanjing 210023
Zhiwang ZHANG, Nanjing University of Finance and Economics,Nanjing 210023
Dandan MA, Nanjing University of Finance and Economics,Nanjing 210023

Keywords

academic virtual community; keywords; keyword extension; community section; knowledge exchange; input-output; efficiency study

Abstract

[Purpose/significance]With the increasing interaction of Internet users,knowledge exchange in acade-mic virtual communities plays an important auxiliary role in enriching scholars' professional knowledge and optimizing the academic exchange ecology.Therefore,how to effectively measure the efficiency of knowledge exchange in academic virtual communities is of obvious significance to the development and improvement of existing academic virtual communities.[Method/process]This paper proposes an effective keyword expansion scheme using recommendation model.The measurement method proposed in this paper uses academic literature keywords as input indicators,views,replies and recommendations as output indicators, and combined with various analysis means including entropy weight method and academic virtual community section comparison,makes a complete analysis,research and comparison on the effectiveness of keyword input indicators and the knowledge exchange efficiency of different academic virtual community sections.[Result/conclusion]Expanded academic literature keywords can better reflect the knowledge exchange of academic virtual community.Meanwhile,the efficiency of knowledge exchange in different sections of academic virtual community is still different,and there are great differences in the efficiency of knowledge exchange between community posts in some sections.These results can provide strategic support for the development and improvement of academic virtual community,such as the improvement of knowledge exchange efficiency, forum optimization and user retention.

First Page

12

Recommended Citation

LI, Shuqing; YAN, Zihao; ZHANG, Zhiwang; and MA, Dandan (2022) "Evaluation of the Knowledge Exchange Efficiency in Academic Virtual Community Based on Expanded Keyword Metrics Analysis," Scientific Information Research: Vol. 4: Iss. 4, Article 2.
Available at: https://eng.kjqbyj.com/journal/vol4/iss4/2

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