社交媒体用户视角下科学论文扩散速度的差异及其影响因素探析  

Analysis on the Differences in the Diffusion Speed of Scientific Papers and Its Influencing Factors from the Perspective of Social Media Users

作　　者：侯剑华 杨思语 王媛媛[1] 张洋[1] Hou Jianhua;Yang Siyu;Wang Yuanyuan;Zhang Yang(School of Information Management,Sun Yat-sen University,Guangzhou,510006)

机构地区：[1]中山大学信息管理学院,广州510006

出　　处：《信息资源管理学报》2025年第2期151-162,F0003,共13页Journal of Information Resources Management

基　　金：中国博士后科学基金第76批面上资助(2024M763834)。

摘　　要：从社交媒体(以Twitter为例)用户视角出发,通过构建科学知识扩散速度的测度指标,探索科学论文在社交媒体平台上短期和长期扩散速度的差异及其影响因素。以CA-A Cancer Journal for Clinicians第66—68卷全部文献为研究样本,采用熵权法构建科学知识扩散速度的测度指标,运用SPSS分析科学论文的短期和长期扩散速度的差异,并借助Eviews工具对影响科学论文短期和长期扩散速度的影响因素进行格兰杰因果分析。结果表明,科学知识在社交媒体上的扩散速度显著受到关键词数量和作者数量的影响。具体而言,短期扩散速度主要由第一作者的引用量驱动;而在长期传播中,除了引用量外,第一作者的学术影响力(以h指数衡量)也起到显著作用,并且具有较高学术影响力的学者更能通过其学术声誉推动科学论文在社交媒体上的持续传播,从而促进科学知识的长期扩散。This study aimed to develop a metric for measuring the diffusion speed of scientific knowledge on social media platforms,using Twitter as an example,and to investigate the differences between shortterm and long-term diffusion speeds of scientific papers,as well as their influencing factors.Articles published in Volumes 66-68 of CA:A Cancer Journal for Clinicians were selected as the research sample.The entropy weight method was used to construct a metric for diffusion speed.SPSS was used to analyze the differences between short-term and long-term diffusion speeds,while Eviews was employed to conduct Granger causality analysis to identify the factors influencing these differences.The analysis revealed that the number of keywords and the number of authors significantly influenced the diffusion speed of scientific knowledge on social media.In the short term,the diffusion speed was Granger-caused by the citation count of the first author,whereas in the long term,it was influenced not only by citation counts but also by the first author’s academic impact,as measured by their h-index.These findings suggested that the diffusion speed of scientific knowledge on social media is affected by multiple factors.Specifically,the number of keywords and the number of authors played a significant role in both short-term and long-term diffusion.Moreover,in the short term,the citation count of the first author was a key driver,while in the long term,both citation counts and the first author’s academic impact contribute to sustained dissemination.Therefore,scholars with higher academic influence were more likely to facilitate the long-term diffusion of their scientific papers on social media,primarily through the endorsement of their academic reputation.

关 键 词：科学知识扩散 社交媒体 扩散速度 速度指标 引文关系 

分 类 号：G353.1[文化科学—情报学]