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| 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 |
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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.
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Received: 29 April 2015
Published: 06 April 2016
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