Please wait a minute...
New Technology of Library and Information Service  2015, Vol. 31 Issue (10): 13-21    DOI: 10.11925/infotech.1003-3513.2015.10.03
Current Issue | Archive | Adv Search |
Difference Research on Keywords Tagging Behavior for Academic User Blog——A Case Study of ScienceNet.cn
Zhang Yingyi1, Zhang Chengzhi1,2, Chi Xuehua1, Li Lei1
1 School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China;
2 Jiangsu Key Laboratory of Data Engineering and Knowledge Service (Nanjing University), Nanjing 210093, China
Download: PDF(404 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  

[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 keywords 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.

Received: 29 April 2015      Published: 06 April 2016
:  G203  

Cite this article:

Zhang Yingyi, Zhang Chengzhi, Chi Xuehua, Li Lei. Difference Research on Keywords Tagging Behavior for Academic User Blog——A Case Study of ScienceNet.cn. New Technology of Library and Information Service, 2015, 31(10): 13-21.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2015.10.03     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2015/V31/I10/13

[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. (Zhang Sufang, Zhang Xiaoxiao. Empirical Study on the Influential Factors of Users Behavioral Tendencies in Scientific Social Network [J]. Journal of the National Library of China, 2014, 23(4): 36-41.)
[2] Lu 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. (Li Lei, Wang Mian, Zhang Chengzhi. Quality Evaluation of Social Tagging Based on the Type of Tags [J]. Library and Information Service, 2013, 57(23): 11-16.)
[4] Mirzaee V, Iverson L. Tagging: Behaviour and Motivations [J]. Proceedings of the American Society for Information Science & Technology, 2009, 46(1): 1-5.
[5] Golder S A, Huberman B A. Usage Patterns of Collaborative Tagging Systems [J]. Journal of Information Science, 2006, 32(2): 198-208.
[6] Farooq 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.
[7] Wang 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.
[8] Lin 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.
[9] Guyot A. Understanding Booksonomies: How and Why are Book Taggers Tagging [D]. Aberystwyth: University of Wales, 2013.
[10] Tsai 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.
[11] Špiranec S, Ivanjko T. Experts vs. Novices Tagging Behavior: An Exploratory Analysis [C]. In: Proceedings of the 2nd International Conference on Integrated Information, Budapest, Hungary. 2013: 456-459.
[12] Chen Y N, Ke H R. An Analysis of Users' Behaviour Patterns in the Organisation of Information: A Case Study of CiteULike [J]. Online Information Review, 2013, 37(4): 638-656.
[13] 吴丹, 许小梅. 图书馆与图书分享网站的用户标注行为比较研究[J]. 图书情报知识, 2013(1): 85-93. (Wu Dan, Xu Xiaomei. A Comparative Study of User's Tagging Behaviors in Libraries and Book Sharing Websites [J]. Document, Information & Knowledge, 2013(1): 85-93.)
[14] 常唯. 网络环境中用户标注对数字资源利用的影响研究[D]. 北京: 中国科学院文献情报中心, 2009. (Chang Wei. A Study of Effect of User Annotation on the Use of Digital Resources on the Interact [D]. Beijing: National Science Library, Chinese Academy of Sciences, 2009.)
[15] Strohmaier M, Körner C, Kern R. Why do Users Tag? Detecting Users' Motivation for Tagging in Social Tagging Systems [C]. In: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, Washington, DC, USA. 2010.

[1] Zhai Shanshan, Xu Xin, Xia Lixin. A Review of User Communication and Knowledge Dissemination in Academic Blogs[J]. 现代图书情报技术, 2015, 31(7-8): 3-12.
[2] Xu Xin, Zhai Shanshan, Yao Zhanlei. Disciplinary Interaction Analysis of Academic Blogs——Taking ScienceNet.cn Blog as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 13-23.
[3] Tan Min, Xu Xin, Zhao Xing . Exploring the Co-recommendation Relationship and Its Core Structure Features of Academic Blogs——Taking ScienceNet.cn Blog as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 24-30.
[4] Tan Min, Xu Xin. The Empirical Study of h-Degree in Recommendation Network of Academic Blogs——Taking ScienceNet.cn Blogs as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 31-36.
[5] Tang Xiaobo, Qiu Xin. Research on Subject-Oriented High Quality Reviews Mining Model[J]. 现代图书情报技术, 2015, 31(7-8): 104-112.
[6] Wang Chuanqing, Bi Qiang. System Model of Digital Library Automatic Semantic Annotation Tool[J]. 现代图书情报技术, 2014, 30(6): 17-24.
[7] Jiang Wen, Xu Xin. Review on Information Quality Evaluation of Online Community Question Answering Sites[J]. 现代图书情报技术, 2014, 30(6): 41-50.
[8] Tang Xiaobo, Fang Xiaoke. The Effect of the Quality of Textual Features on Retrieval in Micro-blog[J]. 现代图书情报技术, 2014, 30(6): 79-86.
[9] Ke Qing, Wang Xiufeng. A Review on Web Navigation Model:Information Foraging Theory Perspective[J]. 现代图书情报技术, 2014, 30(2): 32-40.
[10] Li Yingying, Wang Huilin. Application of Topic Maps in Consumer Health Information Resources Organization——Illustrated by Diabetes Mellitus Information Resources[J]. 现代图书情报技术, 2013, (12): 55-61.
[11] Chen Minghong, Qi Xianjun. A User’s Acceptance Model of Academic Blog and Its Empirical Study[J]. 现代图书情报技术, 2013, (12): 81-87.
[12] Chen Ying, Li Jiao, Li Junlian. A Knowledge Representation Method for Pharmaceutical Products in China[J]. 现代图书情报技术, 2013, (6): 9-15.
[13] Hong Na, Qian Qing, Fan Wei, Fang An, Wang Junhui. Visualization Implementation of Relation Discovery Based on Linked Data[J]. 现代图书情报技术, 2013, 29(2): 11-17.
[14] Wan Jun, Zhang Xiang, Pang Peipei. Research on Factor Model of Dating Sites’ Initial Trust[J]. 现代图书情报技术, 2012, (10): 67-71.
[15] Han Yaojun. Modeling and Analysis of Multilingual Information Resource Scheduling Using Colored Timed Petri Nets[J]. 现代图书情报技术, 2012, 28(3): 40-46.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn