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Introduction: Human Dynamics Research with Social Media and Geospatial Data Analytics

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Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics

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

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Abstract

Social media and geospatial big data have provided researchers new ways to study human dynamics, which is a transdisciplinary research field that focuses on the understanding of dynamic patterns, relationships, narratives, changes, and transitions of human activities, behaviors, communications, and interactions. This book, entitled Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics, discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (GIS), spatio-temporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management and public health to urban geography and spatiotemporal information diffusion. This chapter introduces a contextual background of this book including research rationales and notable challenges and then provides an overview of the subsequent chapters.

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Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant No. 1634641, IMEE project titled “Integrated Stage-Based Evacuation with Social Perception Analysis and Dynamic Population Estimation”, Grant No. 1837577, CS4All project titled “Encoding Geography: Building Capacity for Inclusive Geo-Computational Thinking with Geospatial Technologies”, and Grant No. 2031407, CS4All project titled “Collaborative Research: Encoding Geography-Scaling up an RPP to achieve inclusive geocomputational education”. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.

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Correspondence to Atsushi Nara .

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Nara, A. (2021). Introduction: Human Dynamics Research with Social Media and Geospatial Data Analytics. In: Nara, A., Tsou, MH. (eds) Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. Human Dynamics in Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-030-83010-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-83010-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-83009-0

  • Online ISBN: 978-3-030-83010-6

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