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Social Media Mining for Disaster Management and Community Resilience

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Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data

Abstract

Social media, mobile technologies, and Internet have become an integral part of our daily life. This chapter describes the role of social media during disasters as how platforms like Twitter and Facebook facilitate communication for both the public and response agencies during the time-critical events. Specifically, we introduce the concepts of social media mining for disaster events, provide the use-cases to mine social media for helping public and emergency services, and describe various methods of user, content, network, context, and visual analytics to process and analyze social media data for disaster management and community resilience.

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Notes

  1. 1.

    Overview of Emergency Support Functions: https://www.phe.gov/Preparedness/support/esf8/Pages/default.aspx.

  2. 2.

    Twitter API: https://developer.twitter.com/en/docs/tweets/filter-realtime/api-reference/post-statuses-filter.html.

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Acknowledgements

Purohit acknowledges U.S. National Science Foundation for partially supporting the related research on disaster informatics through grants IIS-1657379 and IIS-1815459.

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Authors and Affiliations

  1. Department of Information Sciences and Technology, George Mason University, Fairfax, VA, USA

    Hemant Purohit

  2. National Institutes of Health, Bethesda, MD, USA

    Steve Peterson

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  1. Big Data Research Group, Western Norway Research Institute, Sogndal, Norway

    Rajendra Akerkar

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Purohit, H., Peterson, S. (2020). Social Media Mining for Disaster Management and Community Resilience. In: Akerkar, R. (eds) Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer, Cham. https://doi.org/10.1007/978-3-030-48099-8_5

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