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Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic

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  • Joshua Daniel Loyal
  • Yuguo Chen

Abstract

As the coronavirus disease 2019 outbreak evolves, statistical network analysis is playing an essential role in informing policy decisions. Therefore, researchers who are new to such studies need to understand the techniques available to them. As a field, statistical network analysis aims to develop methods that account for the complex dependencies found in network data. Over the last few decades, the area has rapidly accumulated methods, including techniques for network modelling and simulating the spread of infectious disease. This article reviews these network modelling techniques and their applications to the coronavirus disease 2019 pandemic.

Suggested Citation

  • Joshua Daniel Loyal & Yuguo Chen, 2020. "Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic," International Statistical Review, International Statistical Institute, vol. 88(2), pages 419-440, August.
    • Handle: RePEc:bla:istatr:v:88:y:2020:i:2:p:419-440
    DOI: 10.1111/insr.12398
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    References listed on IDEAS

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    2. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

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