A Time-based Visualization for Web User Classification in Social Networks

Andrew Brunker; Quang Nguyen; Anthony Maeder; Rhys Tague; Gregory Kolt; Trevor Savage; Corneel Vandelanotte; Mitch Duncan; Cristina Caperchione; Richard Rosenkranz; Anetta Van Itallie; W Mummery

doi:10.1145/2636240.2636842

A Time-based Visualization for Web User Classification in Social Networks

Andrew Brunker, Quang Nguyen, Anthony Maeder, Rhys Tague, Gregory Kolt, Trevor Savage, Corneel Vandelanotte, Mitch Duncan, Cristina Caperchione, Richard Rosenkranz, Anetta Van Itallie, W Mummery

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

This paper presents a new visual analytics framework for analyzing health-related physical activity data. Existing techniques mostly rely on node-links visualizations to represent the usage patterns as social networks. This work takes a different approach that provides interactive scatter-plot visualizations on classified and time-based data. By providing a flexible visualization that can provide different angles on the multidimensional and classified data, the analyst could have better understanding and insight on web user behavior compared to the traditional social network methods. The effectiveness of our method has been demonstrated with a case study on an online portal system for tracking passive physical activity, called Walk 2.0.

Original language	English
Pages	9-18
Number of pages	10
DOIs	https://doi.org/10.1145/2636240.2636842
Publication status	Published - 5 Aug 2014
Event	Proceedings of the 7th International Symposium on Visual Information Communication and Interaction - Duration: 5 Aug 2014 → …

Conference

Conference	Proceedings of the 7th International Symposium on Visual Information Communication and Interaction
Period	5/08/14 → …

Keywords

Classification
Information visualization
Physical activity
Scatter plot
Visual analytics

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10.1145/2636240.2636842

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Brunker, A., Nguyen, Q., Maeder, A., Tague, R., Kolt, G., Savage, T., Vandelanotte, C., Duncan, M., Caperchione, C., Rosenkranz, R., Van Itallie, A., & Mummery, W. (2014). A Time-based Visualization for Web User Classification in Social Networks. 9-18. Paper presented at Proceedings of the 7th International Symposium on Visual Information Communication and Interaction. https://doi.org/10.1145/2636240.2636842

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title = "A Time-based Visualization for Web User Classification in Social Networks",

abstract = "This paper presents a new visual analytics framework for analyzing health-related physical activity data. Existing techniques mostly rely on node-links visualizations to represent the usage patterns as social networks. This work takes a different approach that provides interactive scatter-plot visualizations on classified and time-based data. By providing a flexible visualization that can provide different angles on the multidimensional and classified data, the analyst could have better understanding and insight on web user behavior compared to the traditional social network methods. The effectiveness of our method has been demonstrated with a case study on an online portal system for tracking passive physical activity, called Walk 2.0.",

keywords = "Classification, Information visualization, Physical activity, Scatter plot, Visual analytics",

author = "Andrew Brunker and Quang Nguyen and Anthony Maeder and Rhys Tague and Gregory Kolt and Trevor Savage and Corneel Vandelanotte and Mitch Duncan and Cristina Caperchione and Richard Rosenkranz and {Van Itallie}, Anetta and W Mummery",

year = "2014",

month = aug,

day = "5",

doi = "10.1145/2636240.2636842",

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Brunker, A, Nguyen, Q, Maeder, A, Tague, R, Kolt, G, Savage, T, Vandelanotte, C, Duncan, M, Caperchione, C, Rosenkranz, R, Van Itallie, A & Mummery, W 2014, 'A Time-based Visualization for Web User Classification in Social Networks', Paper presented at Proceedings of the 7th International Symposium on Visual Information Communication and Interaction, 5/08/14 pp. 9-18. https://doi.org/10.1145/2636240.2636842

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AU - Brunker, Andrew

AU - Nguyen, Quang

AU - Maeder, Anthony

AU - Tague, Rhys

AU - Kolt, Gregory

AU - Savage, Trevor

AU - Vandelanotte, Corneel

AU - Duncan, Mitch

AU - Caperchione, Cristina

AU - Rosenkranz, Richard

AU - Van Itallie, Anetta

AU - Mummery, W

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AB - This paper presents a new visual analytics framework for analyzing health-related physical activity data. Existing techniques mostly rely on node-links visualizations to represent the usage patterns as social networks. This work takes a different approach that provides interactive scatter-plot visualizations on classified and time-based data. By providing a flexible visualization that can provide different angles on the multidimensional and classified data, the analyst could have better understanding and insight on web user behavior compared to the traditional social network methods. The effectiveness of our method has been demonstrated with a case study on an online portal system for tracking passive physical activity, called Walk 2.0.

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Y2 - 5 August 2014

ER -

A Time-based Visualization for Web User Classification in Social Networks

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