A Text Network Analysis of Research Trends on Single-Person Households
Year: 2025
Type: article
Abstract: This study aims to systematically examine the research trends and knowledge structure of single-person household studies in South Korea by conducting a text network analysis of 1,565 academic papers published between 1987 and 2025. Using text mining techniques, high-frequency keywords were extracted, followed by TF-IDF analysis, centrality analysis (degree, eigenvector, and betweenness), and CONCOR analysis to explore the structural relationships between key themes and keywords. The results identified keywords such as “single-person household,” “youth,” “housing,” “quality of life,” and “solitary death” as central themes, indicating a strong research focus on housing insecurity, mental health, and social isolation among single-person households. The CONCOR analysis revealed four thematic clusters: “Macroeconomic Context and Lifestyle,” “Spatial and Policy Environment,” “Social Relationships and Experiences of Isolation,” and “Demographic Characteristics and Quality of Life.” This study is meaningful in that it reconstructs the existing literature through quantitative analysis and provides foundational data for future policy development and academic research direction.
Authors: Sung-Sik Moon, Hyung-Min Lee
Language: English
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4415184392