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| Directed Ego Network Analysis× | 사회 연결망 분석× | |
|---|---|---|
| 분야 | 네트워크 분석 | 네트워크 분석 |
| 계열 | Machine learning | Machine learning |
| 기원 연도≠ | 1954–2005 | 1934 (sociometry); 1994 (modern formalization) |
| 창시자≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Moreno, J.L.; formalized by Wasserman & Faust |
| 유형≠ | Egocentric network method | Structural/relational analysis framework |
| 원전≠ | Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| 별칭 | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | SNA, network analysis, sociometric analysis, relational analysis |
| 관련 | 5 | 5 |
| 요약≠ | Directed ego network analysis examines the personal network of a focal node — the ego — by distinguishing the direction of each tie: who sends resources, support, or information to the ego, and to whom the ego sends them. This asymmetric perspective reveals role differentiation, dependence, and brokerage that undirected ego networks cannot capture. | 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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