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在线学术社交平台的用户行为研究——以ResearchGate平台南京大学用户为例 被引量:24

User Behaviors of Online Academic Social Platform——Case Study of Nanjing University Users of ResearchGate
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摘要 在线学术社交平台为科研工作者提供了一种新型的学术社交方式,文章试图从用户使用的角度对在线学术社交平台的用户行为进行研究。以ResearchGate平台南京大学的用户为研究对象,采用相关性分析、社交网络分析等方法,从用户活跃度、用户使用行为关系、用户合作网络等方面对平台的用户行为特征进行研究。研究发现,平台上用户的使用状况受学科背景影响,理工类用户活跃度较高;用户上传、阅读、引用行为之间存在相关关系;校内用户持续与校外用户合作更易产生稳定的合作团体。 Online academic social platform provides researchers with a new way of academic social interaction. This study attempts to examine the user behaviors of online academic social platform from the perspective of user usage.Users of Research Gate in Nanjing University as the research object and their behavioral characteristics are examined with the correlation analysis and social network analysis about their activity, behaviors, cooperation network and so on.The research discovers that the status of users' usage on the platform is influenced by the background of their academic subject to a large extent, for instance, the users majored in science and technology are far more active than others; There exists a relationship among uploading, reading and citing behaviors; It is easier to generate a stable cooperative group when users in school retain working with the external users.
作者 耿斌 孙建军
出处 《图书与情报》 CSSCI 北大核心 2017年第5期47-53,共7页 Library & Information
基金 国家社会科学基金重大项目"面向学科领域的网络资源深度聚合与导航机制研究"(项目编号:12&ZD221)研究成果之一
关键词 在线学术社交平台 用户行为 ResearchGate 合作网络 online academic social platform user behaviors ResearchGate collaboration network
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  • 1王知津,宋正凯.Web 2.0的特色及其对网络信息交流的影响[J].新世纪图书馆,2006(3):10-13. 被引量:50
  • 2Bollen J, Mao H, Zeng X. Twitter mood predicts the stock market. Journal of Computational Science, 2011, 2( 1 ): 1-8.
  • 3Asur S, Huberman B A. Predicting the future with social media// proceedings of the web intelligence and intelligent agent technol- ogy (WI-IAT), 2010 IEEE/WlC/ACM international conference on, F, 2010, IEEE.
  • 4Gonzfilez-Bail6n S, Borge-Holthoefer J, Rivero A et al.The dynam- ics of protest recruitment through an online network. Scientific Reports, 2011, 1: 197.
  • 5Aral S, Walker D. Identifying influential and susceptible membersof social networks. Science, 2012, 337 ( 6092 ): 337-341.
  • 6Vespignani A. Predicting the behavior of techno-social systems. Science, 2009, 325 ( 5939 ) : 425.
  • 7Acquisti A, Brandimarte L, Loewenstein G. Privacy and human be- havior in the age of information. Science, 2015,347(6221 ):509- 514.
  • 8Joinson A N. Looking at, looking up or keeping up with people? motives and use of facebook. Proceedings of the SIGCHI confer- ence on Human Factors in computing systems, F, 2008, ACM.
  • 9Xu C, Ryan S, Prybutok Vet al. It is not for fun: An examination of social network site usage. Information & Management, 2012, 49 (5) :210-217.
  • 10Huang L Y, Hsieh Y J, Wu Y C J. Gratifications and social net- work services usage: the mediating role of online experience. In- formation & Management, 2014, 51 ( 6): 774-782.

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