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San Francisco Bay area community cohesion and resilience: Two case studies

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  • Gilgur, Alexander
  • Ramirez-Marquez, Jose Emmanuel

Abstract

In this submission, the authors develop an innovative approach to measuring community resilience by mathematical analysis of its members’ social-media microblogs. The approach involves applying machine-learning and graph-analytic techniques to infer social cohesion, which is later used as the state variable by which resilience is measured. We analyze community cohesion and its dynamics during two natural disasters that hit San Francisco Bay Area with an interval of only two years - the wildfires of 2020 and the torrential rainstorms during the water year of 2022/23.

Suggested Citation

  • Gilgur, Alexander & Ramirez-Marquez, Jose Emmanuel, 2025. "San Francisco Bay area community cohesion and resilience: Two case studies," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:soceps:v:98:y:2025:i:c:s0038012125000060
    DOI: 10.1016/j.seps.2025.102157
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    References listed on IDEAS

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    1. Gilgur, Alexander & Ramirez-Marquez, Jose Emmanuel, 2022. "Modeling mobility, risk, and pandemic severity during the first year of COVID," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Alexander Gilgur & Jose Emmanuel Ramirez-Marquez, 2020. "Using Deductive Reasoning to Identify Unhappy Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 581-605, November.
    3. Shuming Liu, 2015. "Investor Sentiment and Stock Market Liquidity," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 51-67, January.
    4. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    5. L.A. Smales, 2017. "The importance of fear: investor sentiment and stock market returns," Applied Economics, Taylor & Francis Journals, vol. 49(34), pages 3395-3421, July.
    6. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    7. Paul M. Johnson & Corey E. Brady & Craig Philip & Hiba Baroud & Janey V. Camp & Mark Abkowitz, 2020. "A Factor Analysis Approach Toward Reconciling Community Vulnerability and Resilience Indices for Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1795-1810, September.
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