Objective: This study was designed to identify trends in research and the knowledge structure of elderly welfare related research in a research paper published in a Korean journal on senior welfare for the past 10 years.\nMethod: In this study, the Centrality and Cohesive analysis of the Keyword Network Analysis of the NetMiner Program was conducted using keywords extracted from the journal on senior welfare from 2008 to 2018.\nResult: - The top 15 words with a highly central to the degree are ‘aged’, ‘health’, ‘long-term care’, ‘relationship’, ‘program’, ‘work’, ‘visiting service’, ‘participation’, ‘quality’, ‘income’, ‘protection’, ‘policy’, ‘user’ and ‘payment’.\n- The top 15 words with a high degree of care centering(between centrality) are ‘aged’, ‘facility’, ‘experience’, ‘quality’, ‘program’, ‘work’, ‘career’, ‘care-giver’, ‘relationship’, ‘policy’, ‘depression’, ‘nursing’, ‘family’, ‘health’, ‘education’ and ‘stress’.\n- As a result of Cohesion analysis, sub-topics of the study can be divided into the problems of the elderly, the long-term care insurance, care-giver, consciousness for supporting parents, and suicide.\nConclusion: The results and implications of this study are as follows: First, Korea s elderly welfare research has been centered on the long-term care insurance for the elderly since 2008, but there has been a lack of practical studies on the essential problems of the system such as dementia, cognitive symptoms, prevention and treatment. Second, the study was mainly focused on the social problem keywords of the elderly. Third, research is required not only on health, care and support but also on income support policies such as jobs and pensions. Fourth, diverse research such as community care, prevention of senior citizens human rights and cognitive symptoms, which has recently become an issue, should be expanded, and furthermore, combined with the population, health, medical and industrial fields, including the inclusion of the older generation.