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Spatio-Temporal-Network Visualization for Exploring Human Movements and Interactions in Physical and Virtual Spaces

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Human Dynamics Research in Smart and Connected Communities

Part of the book series: Human Dynamics in Smart Cities ((HDSC))

Abstract

In this research, we propose a conceptual framework for spatiotemporal and social network visualization in a three-dimensional context. Based on this framework, new spatio-temporal-network (STN) quantitative metrics (including STN-impact-extent, STN-impact-center, STN-distance, STN-efficiency, and STN-centrality) are introduced to measure the underlying dynamic interactions among entities. The proposed framework aims to help better understand spatiotemporal patterns of human dynamics and social interactions over both physical and virtual spaces simultaneously, as well as explore how emerging events trigger spatial-temporal-social interactions and information diffusion from a process perspective. As a proof of concept, we demonstrate the proposed framework with a case study using geotagged tweets and associated visualization in the ArcScene software. We hope that this research can stimulate new insights on integrating multidisciplinary knowledge to explore human dynamics in a broader way.

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Author information

Authors and Affiliations

  1. Department of Geography, University of Wisconsin, Madison, WI, USA

    Song Gao

  2. Department of Geography, Pennsylvania State University, State College, PA, USA

    Hanzhou Chen

  3. School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA

    Wei Luo

  4. Department of Geography, University of Tennessee, Knoxville, TN, USA

    Yingjie Hu

  5. Department of Geography, Kent State University, Kent, OH, USA

    Xinyue Ye

Authors
  1. Song Gao
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  2. Hanzhou Chen
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  3. Wei Luo
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  4. Yingjie Hu
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  5. Xinyue Ye
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Corresponding author

Correspondence to Song Gao .

Editor information

Editors and Affiliations

  1. Department of Geography, University of Tennessee, Knoxville, Tennessee, USA

    Shih-Lung Shaw

  2. Department of Geography, Ohio State University, Columbus, Ohio, USA

    Daniel Sui

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Gao, S., Chen, H., Luo, W., Hu, Y., Ye, X. (2018). Spatio-Temporal-Network Visualization for Exploring Human Movements and Interactions in Physical and Virtual Spaces. In: Shaw, SL., Sui, D. (eds) Human Dynamics Research in Smart and Connected Communities. Human Dynamics in Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-319-73247-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-73247-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73246-6

  • Online ISBN: 978-3-319-73247-3

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