Resilience and social change: Findings from research trends using association rule mining.

ABSTRACT: This study analyzed the historical development of resilience with respect to multidisciplinary aspects using association rule mining (ARM). ARM is a rule-based machine-learning approach tailored to identify validated relations among multiple variables in a large dataset. This study collected author keywords from all resilience-related literature in the Web of Science database and examined the changes in validated resilience-related topics using ARM. We found that resilience-related research tends to diversify and expand over time. Although topics and their academic fields related to engineering and complex adaptive systems were prominent in the early 2000s, psychosocial resilience and social-ecological resilience have received significant attention

SUBMITTER: Kim C 

PROVIDER: S-EPMC10404750 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature