基于DEA-SBM模型的学术社交网络用户交互效率研究
Research on User Interaction Efficiency of Academic Social Networks Based on DEA-SBM Model
刘虹 1李煜2
作者信息
- 1. 南京邮电大学管理学院,江苏南京,210003;南京邮电大学信息产业融合创新与应急管理研究中心,江苏南京,210003;南京邮电大学高质量发展评价研究院,江苏南京,210003
- 2. 西北大学图书馆,陕西西安,710127;南京大学信息管理学院,江苏南京,210023
- 折叠
摘要
学术社交网络中的用户交互过程蕴含着知识的扩散、转化和创新.采用DEA-SBM模型对多学科领域学术社交网络用户交互效率展开对比分析,以期为效率提升提供针对性建议,并丰富学术社交网络情境下的知识交互理论研究.研究表明:不同学科领域用户的交互效率差异明显,总体来看各学科领域的用户交互效率偏低,规模效率与纯技术效率均存在一定改进空间.
Abstract
The user interaction process in academic social networks involves the diffusion,transformation,and inno-vation of knowledge.This paper conducts a comparative analysis of user interaction efficiency in academic social networks across multiple disciplines using the DEA-SBM model,in order to provide targeted suggestions for improving user interac-tion efficiency and enrich theoretical research on knowledge exchange in academic social network contexts.Research shows that there are differences in user interaction efficiency among different disciplinary fields.Overall,the user interac-tion efficiency in each disciplinary field is relatively low,and there is room for improvement in both scale efficiency and pure technical efficiency.
关键词
知识交互/信息交流/学术社区/效率评价/数据包络分析Key words
knowledge exchange/information exchange/academic community/efficiency evaluation/data envelopment analysis引用本文复制引用
基金项目
江苏省社会科学基金(20TQC002)
教育部人文社会科学基金(22YJC870008)
江苏省高校哲学社会科学研究基金(2020SJA0092)
南京邮电大学引进人才项目(NYY220013)
出版年
2024
NETL
NSTL
万方数据