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| Review of Clickstream Data Analysis and Visualization Studies |
| Jiang Tingting1,2, Xu Yaping1, Guo Qian1 |
1. School of Information Management, Wuhan University, Wuhan 430072;
2. Center for Studies of Information Resources, Wuhan University, Wuhan 430072 |
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Abstract This review provides an overview of studies on clickstream data analysis and visualization performed between 2000 and 2017. In-depth analysis and comparisons have been performed on the visual characteristics of visualization studies available in literature. The analysis reveals that the existing visualizations (1) usually involve users’ visiting footprints, movements, and pathways as components of representation, (2) present them as directed graphs, sequence diagrams, line graphs, network graphs, cloud maps, Sankey diagrams, matrix graphs, stack graphs, and multiply graphs, and (3) support user interaction through features such as overview, zoom, filter, details-on-demand, relate, history, and extract. This review suggests that future studies should focus on the application of big data technologies in clickstream data analysis, visualization of mobile clickstream data, and user testing for visualization evaluation.
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Received: 12 June 2017
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