| 学术社交网络用户行为研究进展 |
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| 引用本文： | 周庆山,杨志维.学术社交网络用户行为研究进展[J].图书情报工作,2017,61(16):38-47. |
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| 作者姓名： | 周庆山 杨志维 |
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| 作者单位： | 1. 北京大学信息管理系 北京 100871;2. 国家工业信息安全发展研究中心 北京 100040 |
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| 摘 要： | 目的/意义]开展学术社交网络用户行为研究文献的引文分析，以了解该领域研究概貌，并归纳识别学术社交网络用户行为的主要研究方向及进展，为后续研究提出建议。方法/过程]系统搜集学术社交网络用户行为研究文献，整理形成文献集，运用引文分析方法，统计出高频关键词、高被引文献和高被引作者，并进行定性内容分析，概述学术社交网络用户行为主要研究方向及进展，提出研究结论和建议。结果/结论]学术社交网络用户行为研究主要集中在学术社交网络的采用情况、社会网络结构、使用行为模式、使用行为影响因素以及使用障碍5个方面，并在各方面取得了一定的研究进展，但存在研究不充分、理论支撑不足等问题。
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| 关 键 词： | 学术社交网络 用户行为 采用 行为模式 社会网络 影响因素 |
| 收稿时间： | 2017-07-07 |
Research Review on User Behavior of Academic Social Networks |
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| Zhou Qingshan,Yang Zhiwei.Research Review on User Behavior of Academic Social Networks[J].Library and Information Service,2017,61(16):38-47. |
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| Authors: | Zhou Qingshan Yang Zhiwei |
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| Institution: | 1. Department of Information Management, Peking University, Beijing 100871;2. China Industrial Control System Cyber Emergency Response Team, Beijing 100040 |
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| Abstract: | Purpose/significance] The study aims to make a research review on user behavior of academic social networks through a citation analysis,and summarize its main research directions and the corresponding progress,to provide suggestions for the future study.Method/process] It retrieves the papers on user behavior of academic social networks in a systematic way firstly and gains the sample literatures; then conducts a citation analysis to identify the highly reported keywords, the highly-cited articles and authors; after that, it carries a qualitative content analysis to sketch the main directions and process on user behavior of academic social networks; finally, it proposes suggestions for the future study.Result/conclusion] The study concludes that, there are five directions of the study on user behaviors of academic social networks, including adoption, social network structure, behavior pattern, influencing factors and barriers, and each direction makes a moderate progress. However, it indicates that the existing study remains some problem, such as lack of sufficient study and underlying theories. |
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| Keywords: | academic social networks user behavior adoption behavior pattern social network influencing factor |
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