IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v96y2024ics0038012124000302.html
   My bibliography  Save this article

Revisiting the small-world property of co-enrollment networks: A network analysis of hybrid course delivery strategies

Author

Listed:
  • Wu, Di
  • Hamilton, Hanna
  • Jagrowski, Liam
  • Nazzal, Dima
  • Steimle, Lauren N.

Abstract

Infectious disease outbreaks bring new challenges to campus operations at institutions of higher education (IHEs). At the beginning of the COVID-19 pandemic, as a precaution against COVID-19 transmission on their campuses, many IHEs shifted to entirely remote courses in the Spring 2020 semester. As these institutions prepared for the Fall 2020 semester, their administrations evaluated the extent to which remote courses should continue. While remote courses may reduce the number of students who interact on campus and thus mitigate the risk of disease spread, there may be academic and financial downsides.

Suggested Citation

  • Wu, Di & Hamilton, Hanna & Jagrowski, Liam & Nazzal, Dima & Steimle, Lauren N., 2024. "Revisiting the small-world property of co-enrollment networks: A network analysis of hybrid course delivery strategies," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124000302
    DOI: 10.1016/j.seps.2024.101831
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012124000302
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2024.101831?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chirikov, Igor & Soria, Krista M & Horgos, Bonnie & Jones-White, Daniel, 2020. "Undergraduate and Graduate Students’ Mental Health During the COVID-19 Pandemic," University of California at Berkeley, Center for Studies in Higher Education qt80k5d5hw, Center for Studies in Higher Education, UC Berkeley.
    2. Theresa Kuchler & Dominic Russel & Johannes Stroebel, 2020. "The Geographic Spread of COVID-19 Correlates with the Structure of Social Networks as Measured by Facebook," NBER Working Papers 26990, National Bureau of Economic Research, Inc.
    3. Steimle, Lauren N. & Sun, Yuming & Johnson, Lauren & Besedeš, Tibor & Mokhtarian, Patricia & Nazzal, Dima, 2022. "Students’ preferences for returning to colleges and universities during the COVID-19 pandemic: A discrete choice experiment," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    4. Di Xu & Shanna S. Jaggars, 2014. "Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas," The Journal of Higher Education, Taylor & Francis Journals, vol. 85(5), pages 633-659, September.
    5. Marcel Salathé & James H Jones, 2010. "Dynamics and Control of Diseases in Networks with Community Structure," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-11, April.
    6. Amy B. Gore & Mary E. Kurz & Matthew J. Saltzman & Blake Splitter & William C. Bridges & Neil J. Calkin, 2022. "Clemson University’s Rotational Attendance Plan During COVID-19," Interfaces, INFORMS, vol. 52(6), pages 553-567, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gregory, Steve, 2012. "Ordered community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2752-2763.
    2. Bergvall, Sanna & Fernström, Clara & Ranehill, Eva & Sandberg, Anna, 2024. "The Impact of PhD Studies on Mental Health—A Longitudinal Population Study," Working Papers in Economics 846, University of Gothenburg, Department of Economics.
    3. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    4. Chen, Dandan & Zheng, Muhua & Zhao, Ming & Zhang, Yu, 2018. "A dynamic vaccination strategy to suppress the recurrent epidemic outbreaks," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 108-114.
    5. Diemer, Andreas & Regan, Tanner, 2022. "No inventor is an island: Social connectedness and the geography of knowledge flows in the US," Research Policy, Elsevier, vol. 51(2).
    6. Mehmet Ronael & Tüzin Baycan, 2022. "Place-based factors affecting COVID-19 incidences in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1053-1086, October.
    7. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban Density and COVID-19," IZA Discussion Papers 13440, Institute of Labor Economics (IZA).
    8. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    9. Chad Cotti & Bryan Engelhardt & Joshua Foster & Erik Nesson & Paul Niekamp, 2021. "The relationship between in‐person voting and COVID‐19: Evidence from the Wisconsin primary," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 760-777, October.
    10. Zhou, Bin & Yan, Xiao-Yong & Xu, Xiao-Ke & Xu, Xiao-Ting & Wang, Nianxin, 2018. "Evolutionary of online social networks driven by pareto wealth distribution and bidirectional preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 427-434.
    11. Matthias Flückiger & Markus Ludwig, 2023. "Spatial networks and the spread of COVID-19: results and policy implications from Germany," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 1-27, April.
    12. Jane Amunga, 2021. "Leveraging technology to enhance STEM Education Amidst the Covid-19 pandemic: An overview of pertinent concerns," Technium Social Sciences Journal, Technium Science, vol. 18(1), pages 40-55, April.
    13. Saxena, Chandni & Doja, M.N. & Ahmad, Tanvir, 2018. "Group based centrality for immunization of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 35-47.
    14. David Bounie & Youssouf Camara & John Galbraith, 2020. "Consumers’ Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data," Cahiers de recherche 14-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    15. Marigee Bacolod & Stephen Mehay & Elda Pema, 2018. "Who succeeds in distance learning? Evidence from quantile panel data estimation," Southern Economic Journal, John Wiley & Sons, vol. 84(4), pages 1129-1145, April.
    16. Kotnis, Bhushan & Kuri, Joy, 2016. "Cost effective campaigning in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 670-681.
    17. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2020. "An Economic Model of Health-vs-Wealth Prioritization During COVID-19: Optimal Lockdown, Network Centrality, and Segregation," Working Papers 2009E Classification-E61,, University of Ottawa, Department of Economics.
    18. Minda Hu & Mayank Kejriwal, 2022. "Measuring spatio-textual affinities in twitter between two urban metropolises," Journal of Computational Social Science, Springer, vol. 5(1), pages 227-252, May.
    19. Jose L Herrera & Ravi Srinivasan & John S Brownstein & Alison P Galvani & Lauren Ancel Meyers, 2016. "Disease Surveillance on Complex Social Networks," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-16, July.
    20. Monte, Ferdinando, 2020. "Mobility Zones," Economics Letters, Elsevier, vol. 194(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124000302. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.