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Resilience and social change: Findings from research trends using association rule mining
Cheongil Kim1, Jaesun Yeom2, Seunghoo Jeong3
1School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Resilience research has evolved significantly, shifting from engineering to psychosocial and social-ecological aspects. This diversification reflects a growing need to address complex global challenges and uncertainty.
Area of Science:
- Multidisciplinary research
- Complex adaptive systems
- Psychosocial and social-ecological studies
Background:
- Resilience research has historically focused on engineering and complex adaptive systems.
- Recent global events have spurred interest in psychosocial and social-ecological resilience.
- Resilience is increasingly viewed as a paradigm for managing complexity and uncertainty.
Purpose of the Study:
- To analyze the historical development of resilience research.
- To identify evolving multidisciplinary aspects of resilience using association rule mining (ARM).
- To examine changes in resilience-related topics over time.
Main Methods:
- Utilized association rule mining (ARM), a machine-learning approach.
- Collected and analyzed author keywords from Web of Science resilience literature.
- Examined temporal trends in validated resilience-related topics.
Main Results:
- Resilience research shows a trend of diversification and expansion over time.
- Early 2000s research focused on engineering and complex adaptive systems.
- Recent years show increased attention to psychosocial resilience and social-ecological resilience.
Conclusions:
- Resilience research has broadened to encompass psychological, ecological, and social system components.
- This evolution is influenced by complex global events.
- Resilience is emerging as a boundary-spanning concept fostering interdisciplinary collaboration.
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