A time-based visualization for web user classification in social networks

Andrew S. Brunker; Quang Vinh Nguyen; Anthony J. Maeder; Rhys Tague; Gregory S. Kolt; Trevor N. Savage; Corneel Vandelanotte; Mitch J. Duncan; Cristina M. Caperchione; Richard R. Rosenkranz; Anetta Van Itallie; W. Kerry Mummery

doi:10.1145/2636240.2636842

A time-based visualization for web user classification in social networks

Andrew S. Brunker, Quang Vinh Nguyen, Anthony J. Maeder, Rhys Tague, Gregory S. Kolt, Trevor N. Savage, Corneel Vandelanotte, Mitch J. Duncan, Cristina M. Caperchione, Richard R. Rosenkranz, Anetta Van Itallie, W. Kerry Mummery

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

![CDATA[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
Title of host publication	Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014
Publisher	Association for Computing Machinery
Pages	98-105
Number of pages	8
ISBN (Print)	9781450327657
DOIs	https://doi.org/10.1145/2636240.2636842
Publication status	Published - 2014
Event	International Symposium on Visual Information Communication and Interaction - Duration: 5 Aug 2014 → …

Conference

Conference	International Symposium on Visual Information Communication and Interaction
Period	5/08/14 → …

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10.1145/2636240.2636842

Cite this

Brunker, A. S., Nguyen, Q. V., Maeder, A. J., Tague, R., Kolt, G. S., Savage, T. N., Vandelanotte, C., Duncan, M. J., Caperchione, C. M., Rosenkranz, R. R., Van Itallie, A., & Mummery, W. K. (2014). A time-based visualization for web user classification in social networks. In Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014 (pp. 98-105). Association for Computing Machinery. https://doi.org/10.1145/2636240.2636842

@inproceedings{e83c45daec254028b64cebee2f36f7b3,

title = "A time-based visualization for web user classification in social networks",

abstract = "![CDATA[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.]]",

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

year = "2014",

doi = "10.1145/2636240.2636842",

language = "English",

isbn = "9781450327657",

pages = "98--105",

booktitle = "Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014",

publisher = "Association for Computing Machinery",

note = "International Symposium on Visual Information Communication and Interaction ; Conference date: 05-08-2014",

}

Brunker, AS, Nguyen, QV, Maeder, AJ, Tague, R, Kolt, GS, Savage, TN, Vandelanotte, C, Duncan, MJ, Caperchione, CM, Rosenkranz, RR, Van Itallie, A & Mummery, WK 2014, A time-based visualization for web user classification in social networks. in Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014. Association for Computing Machinery, pp. 98-105, International Symposium on Visual Information Communication and Interaction, 5/08/14. https://doi.org/10.1145/2636240.2636842

A time-based visualization for web user classification in social networks. / Brunker, Andrew S.; Nguyen, Quang Vinh; Maeder, Anthony J. et al.
Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014. Association for Computing Machinery, 2014. p. 98-105.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Nguyen, Quang Vinh

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AU - Kolt, Gregory S.

AU - Savage, Trevor N.

AU - Vandelanotte, Corneel

AU - Duncan, Mitch J.

AU - Caperchione, Cristina M.

AU - Rosenkranz, Richard R.

AU - Van Itallie, Anetta

AU - Mummery, W. Kerry

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AB - ![CDATA[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.]]

UR - http://handle.uws.edu.au:8081/1959.7/555835

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BT - Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014

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Brunker AS, Nguyen QV, Maeder AJ, Tague R, Kolt GS, Savage TN et al. A time-based visualization for web user classification in social networks. In Proceedings of the 7th International Symposium on Visuaal Information Communication and Interaction (VINCI' 2014), Sydney, Australia, 5-8 August 2014. Association for Computing Machinery. 2014. p. 98-105 doi: 10.1145/2636240.2636842

A time-based visualization for web user classification in social networks

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