| 学术社交网络中科研成果浏览行为规律及影响因素分析 |
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| 引用本文： | 严炜炜,邓婉莹,曹灿瑜.学术社交网络中科研成果浏览行为规律及影响因素分析[J].情报资料工作,2021(2):96-103. |
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| 作者姓名： | 严炜炜 邓婉莹 曹灿瑜 |
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| 作者单位： | 武汉大学信息管理学院 |
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| 基金项目： | 国家自然科学基金青年项目“群体差异视角下学术社交网络用户交互与合作机制研究”(批准号:71904148)的研究成果之一。 |
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| 摘 要： | 目的/意义]探究学术社交网络中科研成果浏览行为规律及其影响因素,有助于用户基于学术社交网络提升科研成果的传播效果和影响力。方法/过程]文章选取ResearchGate中32501篇科研成果,揭示其浏览量整体分布和以周为单位的时序变化规律。从第一作者、合作者数量、展现形式以及质量水平四个维度利用相关分析,并结合主成分分析改进和逻辑回归分析对科研成果浏览量总量影响因素进行探究。结果/结论]研究发现学术社交网络中科研成果总浏览量呈现幂律分布特征;以周为观察周期,多数科研成果的传播效果仍较小;科研成果的浏览量时序变化可细分为骤升骤降型、持续升降型、平稳变化型、低浏览量型四种类型;反映科研成果在RG上呈现内容完整度的全文信息和图片信息、第一作者的篇均浏览量、反映科研成果质量的科研成果兴趣值和引用量均显著正向影响科研成果的浏览量水平,且影响程度依次降低;丰富科研成果展现形式与内容,提升完整成果能见度是学术社交网络平台及其用户提升科研成果浏览量水平的关键。
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| 关 键 词： | 学术社交网络 科研成果 浏览行为 逻辑回归 |
Analysis of the Laws and Influencing Factors of the Browsing Behavior of Scientific Research Achievements in Academic Social Network |
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| Yan Weiwei,Deng Wanying,Cao Canyu.Analysis of the Laws and Influencing Factors of the Browsing Behavior of Scientific Research Achievements in Academic Social Network[J].Information and Documentation Services,2021(2):96-103. |
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| Authors: | Yan Weiwei Deng Wanying Cao Canyu |
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| Institution: | (School of Information Management,Wuhan University,Hubei,430072) |
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| Abstract: | Purpose/significance] Research on the characteristics and influencing factors of browsing behavior of research publications in academic social networks can help users improve the dissemination effect and influence of research publications based on academic social networks.Method/process] With 32 501 research publications selecting from ResearchGate,this paper reveals the overall distribution of reads and the time-series change in weeks.From the four dimensions of first author,number of collaborators,presentation form and quality level,this paper uses correlation analysis combined with principal components analysis and logistic regression analysis to explore the influencing factors of research publications’ reads.Result/conclusion] The research discovers that the reads of research publications in academic social networks present the power-law distribution,and the dissemination effect of most research publications is still small in weeks.According to its time-series change,research publications can be divided into four types:swell and swell,continuous ascent,steady change and low-read.Full article and abstract pictures reflecting the completeness of research publications’ content on RG,the average reads of the first author,the research interest and citations reflecting the quality of research publications all have significant positive impacts on the browsing level of research publications,and the degree of impact decreases in turn.Enriching the display form and content of research publications and improving the visibility of complete publications are the keys to improve the reads of research publications for academic social networks and their users. |
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| Keywords: | academic social network research publications browsing behavior logistic regression |
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