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科研用户博文关键词标注行为差异研究——以科学网博客为例 被引量:7

Difference Research on Keywords Tagging Behavior for Academic User Blog——A Case Study of Science Net.cn
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摘要 【目的】为优化标注系统提供依据,同时丰富网络环境下用户标注行为的研究。【应用背景】不同人群的关键词标注行为差异研究是用户信息行为研究中的一个重要方面。【方法】从标注系统使用方式、关键词结构以及标注动机三个角度选取关键词标注比率、用户标注关键词比率、用户标注关键词平均个数、用户标注关键词平均长度以及用户标注关键词重用率5个标注行为指标,分析科学网博客中不同类型用户标注行为的差异。【结果】分析结果发现,不同职业、专业、注册时间、发博文频率以及职称的用户在部分标注行为上存在显著性差异,但不同性别以及学历的用户在主要标注行为上不存在显著性差异。【结论】学术博客可以根据不同类型用户的标注行为差异,对博文标注系统进行优化。 [Objective] This paper aims to provide the basis for optimizing the annotation system and enrich user annotations behavior research under the network environment. [Context] Differences research on keywords tagging behavior among different groups is one of the major works in user information behavior research. [Methods] To analyze the differences types of ScienceNet.cn user's annotation behavior, this paper selects keywords tagging ratio, user-generated keywords tagging ratio, user-generated key-words average number, user-generated keywords average length and user-generated keywords average reuse ratio from the perspective of the way for tagging system, keywords structure and tagging motivation. [Results] The results show that the users with different occupation, major, register time and blog published frequency have significant differences on some tagging behaviors, but the users with different gender and education have no significant differences on all the tagging behaviors. [Conclusions] Academic blog can optimize the tagging system according to the differences of different user's annotation behavior.
出处 《现代图书情报技术》 CSSCI 2015年第10期13-21,共9页 New Technology of Library and Information Service
基金 国家社会科学基金项目"在线社交网络中基于用户的知识组织模式研究"(项目编号:14BTQ033) 教育部人文社会科学基金规划项目"多语言高质量社会化标签生成及聚类研究"(项目编号:13YJA870020)的研究成果之一
关键词 社会化标签 关键词标注 科研用户 标注行为用户信息行为 Social tags Keywords annotation Academic user Tagging behavior User information behavior
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参考文献15

  • 1张素芳,张晓晓.科研社交网络用户行为倾向的影响因素分析[J].国家图书馆学刊,2014,23(4):36-41. 被引量:16
  • 2Lu C, Park J, Hu X. User Tags Versus Expert-Assigned Subject Terms: A Comparison of LibraryThing Tags and Library of Congress Subject Headings [J]. Journal of Information Science, 2010, 36(6): 763-779.
  • 3李蕾,王冕,章成志.区分标签类型的社会化标签质量测评研究[J].图书情报工作,2013,57(23):11-16. 被引量:17
  • 4Mirzaee V, Iverson L. Tagging: Behaviour and Motivations [J]. Proceedings of the American Society for Information Science & Technology, 2009, 46(1): 1-5.
  • 5Golder S A, Huberman B A. Usage Patterns of Collaborative Tagging Systems [J]. Journal of Information Science, 2006, 32(2): 198-208.
  • 6Farooq U, Kannampallil T G, Song Y, et al. Evaluating Tagging Behavior in Social Bookmarking Systems: Metrics and Design Heuristics [C]. In: Proceedings of the 2007 International ACM Conference on Supporting Group Work. 2007: 351-360.
  • 7Wang X, Kumar S, Liu H. A Study of Tagging Behavior Across Social Media [C]. In: Proceedings of the 2011 SIGIR Workshop on Social Web Search and Mining, Beijing, China. 2011.
  • 8Lin C S, Chen Y F. Examining Social Tagging Behaviour and the Construction of an Online Folksonomy from the Perspectives of Cultural Capital and Social Capital [J]. Journal of Information Science, 2012, 38(6): 540-557.
  • 9Guyot A. Understanding Booksonomies: How and Why are Book Taggers Tagging [D]. Aberystwyth: University of Wales, 2013.
  • 10Tsai L C, Hwang S L, Tang K H E. Analysis of Keyword- based Tagging Behaviors of Experts and Novices [J]. Online Information Review, 2011, 35(2): 272-290.

二级参考文献54

  • 1毛波,尤雯雯.虚拟社区成员分类模型[J].清华大学学报(自然科学版),2006,46(z1):1069-1073. 被引量:78
  • 2徐静,卢章平.基于Folksonomy的信息组织及其优化[J].新世纪图书馆,2011(4):34-36. 被引量:4
  • 3刘志丹,张晓颖,范水香.垂直社交网站的兴起与特征:基于用户使用体验的分析[J].信息资源管理学报,2011,1(2):107-112. 被引量:6
  • 4刘佳,樊治平,杨国梁.一种面向知识共享的虚拟社区模型框架[J].管理学报,2006,3(2):190-194. 被引量:23
  • 5Kreimir Z, Jadranka L L, Mihaela B Z. Collaborative Tagging Supported Knowledge Discover[C]//Proceedings of the 29th International Conference on Information Technology Interfaces. New York: IEEE Press, 2007:437-442.
  • 6陈珊.社会编目网站及其对图书馆的影响研究[D]武汉:华中师范大学,2011.
  • 7LibraryThingr [B/OL][2012-06-08]. http://www, librarything, com/zeitgeist.
  • 8豆瓣读书[EB/OL][2012-06-08]http://bookdoubancom/.
  • 9Ivan C, Ioannis K, Joemon M J. Categorising Social Tags to Improve Folksonomy-based Recommendations[ J]. Web Semantics: Science Services and Agents on the World Wide Web. 2011, 9( 1 ) : 1-15.
  • 10Kwan Y, Lois M C. Linking Folksonomy to Library of Congress Subject Headings:An Exploratory Study[ J]. Journal of Documentation 2009, 65(6): 872-900.

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