دورية أكاديمية

An empirical study on social network analysis for small residential communities in Gangwon State, South Korea.

التفاصيل البيبلوغرافية
العنوان: An empirical study on social network analysis for small residential communities in Gangwon State, South Korea.
المؤلفون: Jeong DH; Gangwon Institute, Chuncheon, Republic of Korea., Lee SK; Hallym University College of Medicine, Chuncheon Sacred Heart Hospital, 77 Sakju-ro, Chuncheon, 24253, Republic of Korea., Ahn ME; Hallym University College of Medicine, Chuncheon Sacred Heart Hospital, 77 Sakju-ro, Chuncheon, 24253, Republic of Korea., Kim SM; Department of AI Health Information Management, Yonsei University, Wonju, Republic of Korea., Ryu OH; Hallym University College of Medicine, Chuncheon Sacred Heart Hospital, 77 Sakju-ro, Chuncheon, 24253, Republic of Korea. ohryu30@gmail.com., Park KS; Industry Academic Cooperation Foundation, Hallym University, Chuncheon, Republic of Korea., Shin SG; Industry Academic Cooperation Foundation, Hallym University, Chuncheon, Republic of Korea., Han JH; Gangwon Technopark, Chuncheon, Gangwon-do, Republic of Korea.
المصدر: Scientific reports [Sci Rep] 2024 May 22; Vol. 14 (1), pp. 11648. Date of Electronic Publication: 2024 May 22.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Social Network Analysis*, Republic of Korea ; Humans ; Female ; Male ; Middle Aged ; Adult ; Socioeconomic Factors ; Social Networking ; Rural Population ; Aged ; Residence Characteristics ; Health Promotion ; Social Support ; Young Adult
مستخلص: Social Network Analysis (SNA) provides a dynamic framework for examining interactions and connections within networks, elucidating how these relationships impact behaviors and outcomes. This study targeted small residential communities in Gangwon State, South Korea, to explore network formation theories and derive strategies for enhancing health promotion services in rural communities. Conducted in 12 small residential areas, the survey led to a network categorization model distinguishing networks as formal, informal, or non-existent. Key findings demonstrated that demographic and socio-economic factors, specifically age, income, living environment, leisure activities, and education level, significantly influence network formation. Importantly, age, environmental conditions, satisfaction with public transportation, and walking frequency were closely associated with the evolution of formal networks. These results highlight the importance of early community network assessments, which must consider distinct network traits to develop effective health promotion models. Utilizing SNA early in the assessment process can improve understanding of network dynamics and optimize the effectiveness of health interventions.
(© 2024. The Author(s).)
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معلومات مُعتمدة: HS21C0170 the Korea Health Promotion R&D Project, funded by the Ministry of Health & Welfare, Republic of Korea
فهرسة مساهمة: Keywords: Community network; Health promotion; Social network analysis
تواريخ الأحداث: Date Created: 20240521 Date Completed: 20240521 Latest Revision: 20240524
رمز التحديث: 20240524
مُعرف محوري في PubMed: PMC11109222
DOI: 10.1038/s41598-024-62371-x
PMID: 38773232
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-024-62371-x