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Updated: Oct 9, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Overemphasis on recovery inhibits community transformation and creates resilience traps
Benjamin Rachunok1,2, Roshanak Nateghi3,4,5
1School of Industrial Engineering, Purdue University, West Lafayette, IN, USA. rachunok@stanford.edu.
Abstract:
Building community resilience in the face of climate disasters is critical to achieving a sustainable future. Operational approaches to resilience favor systems' agile return to the status quo following a disruption. Here, we show that an overemphasis on recovery without accounting for transformation entrenches 'resilience traps'-risk factors within a community that are predictive of recovery, but inhibit transformation. By quantifying resilience including both recovery and transformation, we identify risk factors which catalyze or inhibit transformation in a case study of community resilience in Florida during Hurricane Michael in 2018. We find that risk factors such as housing tenure, income inequality, and internet access have the capability to trigger transformation. Additionally, we find that 55% of key predictors of recovery are potential resilience traps, including factors related to poverty, ethnicity and mobility. Finally, we discuss maladaptation which could occur as a result of disaster policies which emphasize resilience traps.
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