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| 가중치 부여 개인망 분석× | 사회 연결망 분석× | |
|---|---|---|
| 분야 | 네트워크 분석 | 네트워크 분석 |
| 계열 | Machine learning | Machine learning |
| 기원 연도≠ | 1954–2002 | 1934 (sociometry); 1994 (modern formalization) |
| 창시자≠ | Barnes, J. A.; Bott, E.; Marsden, P. V. | Moreno, J.L.; formalized by Wasserman & Faust |
| 유형≠ | Ego-centered network analysis with weighted ties | Structural/relational analysis framework |
| 원전≠ | Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| 별칭 | weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis | SNA, network analysis, sociometric analysis, relational analysis |
| 관련≠ | 6 | 5 |
| 요약≠ | Weighted ego network analysis examines the personal network of a focal actor (the ego) and incorporates tie strength — measured as interaction frequency, closeness, or resource exchange — as edge weights. By moving beyond simple presence or absence of a tie, it captures how much each relationship matters and how those varying strengths shape outcomes such as social support, information access, or influence. | Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system. |
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