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Application of Social Sensors in Natural Disasters Emergency Management: A Review

  • Kaize Shi
  • , Xueping Peng
  • , Hao Lu
  • , Yifan Zhu
  • , Zhendong Niu*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • University of Technology Sydney
  • CAS - Institute of Automation
  • Tsinghua University
  • University of Pittsburgh

科研成果: 期刊稿件文章同行评审

摘要

Natural disasters are public emergencies characterized by suddenness, universality, and nonconventionality. Realizing the early warning, monitoring, and intervention of natural disasters and their derivative social impacts is significant for reducing the disasters' damage and benefits the maintenance of social stability. Social sensors are ubiquitous sensors based on social network platforms. It uses the concepts and methods of physical space to mine social signals that integrate human perception and intelligence in cyberspace. Compared with traditional physical sensors, social sensors represent a crucial data acquisition channel in the emergency management of natural disasters and have the advantages of real time, comprehensive coverage, low cost, and flexible deployment. This article reviews the application of social sensors in natural disasters emergency management. We summarize the application functions of social sensors into three categories: natural disaster situation awareness and event detection, disaster information dissemination and communication, and disaster sentiment analysis and public opinion mining. Based on the above functions, this article analyzes the research status, data, technical methods, and application systems. Finally, this article proposes a research trend of applying social sensors in natural disaster emergency management according to the requirements of real scenarios.

源语言英语
页(从-至)3143-3158
页数16
期刊IEEE Transactions on Computational Social Systems
10
6
DOI
出版状态已出版 - 1 12月 2023

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