A Text Mining and Network Analysis of Trends in Housing Welfare of the Elderly Since an Outbreak of COVID-19

Abstract

This study aims to analyze the main trends of housing welfare research for the elderly after COVID-19 and to comprehensively grasp the recent changes in research topics in the housing welfare field for the elderly. Web crawling was used for KCI domestic journal papers published between March 2020 and September 2021 after the outbreak of COVID-19, and text mining and network analysis were applied to analyze them. Top keywords (housing, service, community, city, facility, friendly, health, satisfaction, depression, policy, rural, safety, improvement, rental, supply, apartments, relationships, communities, public, etc.) in text mining were predominant terms related to local-friendly housing supply and service. As a result of performing a network analysis by constructing a co-occurrence matrix to figure out the overall relationship between each keyword, 68 keywords related to housing welfare for the elderly. The five main issues derived were ‘housing condition,’ ‘community activation,’ ‘elements of housing plan and evaluation,’ ‘improvement housing plan,’ and ‘housing welfare service and delivery system.’ It was confirmed that the elderly housing welfare study was about the elderly-friendly housing plan in the community and policy support for its implementation.