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Social Network Analysis for Coronavirus (COVID‐19) in the United States

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  • Seungil Yum

Abstract

Objectives This study explores how public key players play an important role in social networks for coronavirus (COVID‐19). Methods This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter. Results This study finds that President Trump plays the most important role in social networks among the top 20 key players for both in‐degree centrality and content in tweets. Second, Donald Trump and Barak Obama show the opposite result for the in‐degree centrality and follower analysis. The result shows that the topic‐based networks and the person‐based networks play a different role in social networks. This study demonstrates that the presidents, the World Health Organization (WHO) and its regional offices, the Centers for Disease Control, and news channels play a crucial role in the news of COVID‐19 for people. Key players, such as Donald Trump, Barack Obama, and BBC, are located in the central networks. In contrast, U.S. news channels and WHO and its regional offices have independent channels. Conclusions Governments should understand the characteristics of public key players to provide information for COVID‐19 in a timely manner.

Suggested Citation

  • Seungil Yum, 2020. "Social Network Analysis for Coronavirus (COVID‐19) in the United States," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1642-1647, July.
    • Handle: RePEc:bla:socsci:v:101:y:2020:i:4:p:1642-1647
    DOI: 10.1111/ssqu.12808
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    Cited by:

    1. Rajeev K. Goel & Shoji Haruna, 2021. "Unmasking the demand for masks: Analytics of mandating coronavirus masks," Metroeconomica, Wiley Blackwell, vol. 72(3), pages 580-591, July.
    2. Yun Jo & Andy Hong & Hyungun Sung, 2021. "Density or Connectivity: What Are the Main Causes of the Spatial Proliferation of COVID-19 in Korea?," IJERPH, MDPI, vol. 18(10), pages 1-16, May.
    3. Perez-Cepeda, Maximiliano & Arias-Bolzmann, Leopoldo G., 2022. "Sociocultural factors during COVID-19 pandemic: Information consumption on Twitter," Journal of Business Research, Elsevier, vol. 140(C), pages 384-393.
    4. Joseph Harris & Jonathan D. Shaffer, 2022. "Comparing disciplinary engagement in global health research across the social sciences," Social Science Quarterly, Southwestern Social Science Association, vol. 103(2), pages 439-454, March.
    5. Goel, Rajeev K. & Nelson, Michael A. & Goel, Viraat Y., 2021. "COVID-19 vaccine rollout—scale and speed carry different implications for corruption," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 503-520.
    6. Juyoung Song & Dal-Lae Jin & Tae Min Song & Sang Ho Lee, 2023. "Exploring Future Signals of COVID-19 and Response to Information Diffusion Using Social Media Big Data," IJERPH, MDPI, vol. 20(9), pages 1-11, May.
    7. Debra Leiter & Jack Reilly & Beth Vonnahme, 2021. "The crowding of social distancing: How social context and interpersonal connections affect individual responses to the coronavirus," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2435-2451, September.
    8. A. Burcu Bayram & Todd Shields, 2021. "Who Trusts the WHO? Heuristics and Americans’ Trust in the World Health Organization During the COVID‐19 Pandemic," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2312-2330, September.
    9. Rajeev K. Goel & Michael A. Nelson, 2021. "COVID-19 internet vaccination information and vaccine administration: evidence from the United States," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 716-734, October.

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