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。
The user interaction process in academic social networks involves the diffusion,transformation,and innovation 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 interaction 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 interaction efficiency in each disciplinary field is relatively low,and there is room for improvement in both scale efficiency and pure technical efficiency.
出处
《图书情报导刊》
2024年第8期41-48,共8页
Journal of Library and Information Science
基金
江苏省社会科学基金“网络结构视角下的学术社交网络用户交互行为研究”(项目编号:20TQC002)
教育部人文社会科学基金“基于因果推断的科研创新人才交互与影响力综合评价研究”(项目编号:22YJC870008)
江苏省高校哲学社会科学研究基金“信息生态视角下服务型社交媒体用户行为研究”(项目编号:2020SJA0092)
南京邮电大学引进人才项目“服务型社交媒体用户行为评测与优化研究”(项目编号:NYY220013)。
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
knowledge exchange
information exchange
academic community
efficiency evaluation
data envelopment analysis
