国外点击流可视化研究述评

doi:10.3772/j.issn.1000-0135.2018.04.009

情报学报

2018, Vol. 37

Issue (4): 436-450 DOI: 10.3772/j.issn.1000-0135.2018.04.009

研究进展与文献综述

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国外点击流可视化研究述评

姜婷婷^1,2, 徐亚苹¹, 郭倩¹

1. 武汉大学信息管理学院,武汉 430072;
2. 武汉大学信息资源研究中心,武汉 430072

Review of Clickstream Data Analysis and Visualization Studies

Jiang Tingting^1,2, Xu Yaping¹, Guo Qian¹

1. School of Information Management, Wuhan University, Wuhan 430072;
2. Center for Studies of Information Resources, Wuhan University, Wuhan 430072

摘要
图/表
参考文献(42)
相关文章 (12)

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摘要本文广泛调研了2000年以来的国外点击流数据可视化研究,针对文献中点击流可视化视图的视觉特征开展了细致的分析与比较并发现：已有的可视化在视觉表示上一般以用户的访问足迹、移动和路径为对象;在视觉呈现上可分为有向图、序列图、折线图、网络图、点云图、桑基图、矩阵图、堆积图以及多种图形等类型;在视觉交互上实现了概览、缩放、过滤、详细信息、关联、操作历史以及提取功能。本文认为,未来的点击流数据可视化研究应该重视大数据技术在点击流数据分析中的应用、移动端点击流数据的可视化以及可视化的用户测试评估。

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	姜婷婷
	徐亚苹
	郭倩

关键词 ：点击流, 可视化, 视觉特征, 用户行为

收稿日期: 2017-06-12

基金资助:国家自然科学基金项目“在线信息偶遇过程中趋避行为的产生规律与神经机制研究”（71774125）; 国家自然科学基金项目“用户探寻式搜索策略分析及系统构建研究”（71203163）; 国家自然科学基金重点国际（地区）合作研究项目“大数据环境下的知识组织与服务创新研究”（71420107026）

作者简介: 姜婷婷,女,1981年生,博士,副教授,硕士生导师,主要研究方向为信息行为、信息可视化、用户心理、数据分析法,E-mail: tij@whu.edu.cn;徐亚苹,女,1988年生,硕士研究生,主要研究方向为信息行为、信息可视化;郭倩,女,1994年生,硕士研究生,主要研究方向为信息行为、数据分析。

引用本文:

姜婷婷, 徐亚苹, 郭倩. 国外点击流可视化研究述评[J]. 情报学报, 2018, 37(4): 436-450.
Jiang Tingting, Xu Yaping, Guo Qian. Review of Clickstream Data Analysis and Visualization Studies. 情报学报, 2018, 37(4): 436-450.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2018.04.009 或 https://qbxb.istic.ac.cn/CN/Y2018/V37/I4/436

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