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

Published: 05 August 2014 Publication History

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.

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  • (2019)TimeClusterThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-019-01673-y35:6-8(1013-1026)Online publication date: 1-Jun-2019
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    cover image ACM Other conferences
    VINCI '14: Proceedings of the 7th International Symposium on Visual Information Communication and Interaction
    August 2014
    262 pages
    ISBN:9781450327657
    DOI:10.1145/2636240
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 05 August 2014

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    Author Tags

    1. Information visualization
    2. classification
    3. physical activity
    4. scatter plot
    5. visual analytics

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    VINCI '14 Paper Acceptance Rate 21 of 62 submissions, 34%;
    Overall Acceptance Rate 71 of 193 submissions, 37%

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    View all
    • (2024)Two-layer visual analytics of truckers’ risk-coping social networkInformation Visualization10.1177/1473871624126511023:4(347-365)Online publication date: 2-Aug-2024
    • (2019)Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment2019 23rd International Conference in Information Visualization – Part II10.1109/IV-2.2019.00016(34-41)Online publication date: Jul-2019
    • (2019)TimeClusterThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-019-01673-y35:6-8(1013-1026)Online publication date: 1-Jun-2019
    • (2016)A Hybrid Approach for Event Social Influence VisualizationProceedings of the 9th International Symposium on Visual Information Communication and Interaction10.1145/2968220.2968246(117-121)Online publication date: 24-Sep-2016

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