| 基于对应分析的用户与标签间偏好关系研究 |
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| 引用本文： | 滕广青,陈思,常志远,姜博,刘雅姝,赵汝南,张利彪.基于对应分析的用户与标签间偏好关系研究[J].图书情报工作,2016,60(11):120-127. |
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| 作者姓名： | 滕广青 陈思 常志远 姜博 刘雅姝 赵汝南 张利彪 |
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| 作者单位： | 东北师范大学计算机科学与信息技术学院 长春 130117 |
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| 基金项目： | 本文系教育部人文社会科学研究规划基金项目“基于后结构主义网络分析的Folksonomy模式中社群知识非线性自组织研究”（项目编号：14YJA870010）和国家自然科学基金项目“基于网络结构演化的Folksonomy模式中社群知识组织与知识涌现研究”（项目编号：71473035）研究成果之一。 |
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| 摘 要： | ［目的/意义］用户认知能够影响客观知识之间潜在的关联关系，研究Folksonomy模式中用户与标签之间的偏好关系有助于揭示认知与知识之间的互动关系及其模式规律，并为人文因素影响下的知识组织提供参考。［方法/过程］基于标签与用户的隶属关系构建“标签-用户”2-模网络，采用多变量的对应分析方法，基于联合空间距离位置对用户与标签间的偏好关系进行分析。［结果/结论］研究表明，用户与标签的偏好关系与联合空间中的位置和2-模网络的中心度具有相关性，在偏好问题上不会有群体极化现象发生，群体决策的科学性得以保障。
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| 关 键 词： | Folksonomy 偏好关系 对应分析 复杂网络 |
| 收稿时间： | 2016-03-29 |
Research on Preference Relation Between Users and Tags Based on Correspondence Analysis |
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| Teng Guangqing,Chen Si,Chang Zhiyuan,Jiang Bo,Liu Yashu,Zhao Runan,Zhang Libiao.Research on Preference Relation Between Users and Tags Based on Correspondence Analysis[J].Library and Information Service,2016,60(11):120-127. |
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| Authors: | Teng Guangqing Chen Si Chang Zhiyuan Jiang Bo Liu Yashu Zhao Runan Zhang Libiao |
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| Institution: | School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117 |
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| Abstract: | Purpose/significance] Users' cognition can influence the potential relationship between objective knowledge. The research on preference relation between users and tags is helpful to reveal the relationship and rule mode of interaction between cognition and knowledge, and provide a reference for knowledge organization under the human impact. Method/process] The "tag-user" 2-mode network is constructed based on affiliation of tags and users.With multivariate correspondence analysis method, the preference relations between users and tags are analyzed based on distance and position in joint space. Result/conclusion] The results show that the preference relations between users and tags are related with the position in joint space and centrality in 2-mode network, there is no the phenomenon of group polarization about preference, the scientificity of group decision-making can be guaranteed. |
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| Keywords: | Folksonomy preference relation correspondence analysis complex network |
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