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Assessing Risk Communication in Social Media for Crisis Prevention: A Social Network Analysis of Microblog

Author

Listed:
  • Shi Jia
  • Zhu Zhengwei
  • Guo Xuesong

    (Xi’an Jiaotong University, School of Public Policy and Administration, No. 28 Xianning West RoadXi’an, Shaanxi , China)

  • Kapucu Naim
  • Haupt Brittany

    (University of Central Florida, School of Public Administration, 4000 Central Florida Blvd.Orlando, Florida, United States of America)

Abstract

This article examines risk communication and perception differences via social media in the context of crisis management. Based on data from the Shifang Protest, this study constructed a relational matrix identifying how critical actors facilitated risk communication and interactions. In addition, the article identified measures of network structure and risk perception differences with Social Network Analysis (i.e. density, centralization, structure holes and subgroups) using UCINET software program along visual structures with NetDraw. Key findings of this study include: a) ranked actors controlled most of the information resources and threat diffusion; b) the level of interaction between government users and others users is extremely low; and c) divergence occurred between personal (informal) and official (formal) nodes in the context of risk perception.

Suggested Citation

  • Shi Jia & Zhu Zhengwei & Guo Xuesong & Kapucu Naim & Haupt Brittany, 2017. "Assessing Risk Communication in Social Media for Crisis Prevention: A Social Network Analysis of Microblog," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 14(1), pages 1-16, April.
    • Handle: RePEc:bpj:johsem:v:14:y:2017:i:1:p:16:n:3
    DOI: 10.1515/jhsem-2016-0058
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    Cited by:

    1. Wang Yijun & Zhang Yu & Usman Bashir, 2023. "Impact of COVID-19 on the contagion effect of risks in the banking industry: based on transfer entropy and social network analysis method," Risk Management, Palgrave Macmillan, vol. 25(2), pages 1-41, June.

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