节点文献
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
【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 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.
【Key words】 knowledge exchange; information exchange; academic community; efficiency evaluation; data envelopment analysis;
- 【文献出处】 图书情报导刊 ,Journal of Library and Information Science , 编辑部邮箱 ,2024年08期
- 【分类号】G252
- 【下载频次】62