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| 이중 모드 네트워크 분석× | 사회 연결망 분석× | |
|---|---|---|
| 분야 | 네트워크 분석 | 네트워크 분석 |
| 계열 | Machine learning | Machine learning |
| 기원 연도≠ | 1974 | 1934 (sociometry); 1994 (modern formalization) |
| 창시자≠ | Breiger, R. L. | Moreno, J.L.; formalized by Wasserman & Faust |
| 유형≠ | Bipartite graph analysis | Structural/relational analysis framework |
| 원전≠ | Breiger, R. L. (1974). The duality of persons and groups. Social Forces, 53(2), 181–190. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| 별칭 | bipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis | SNA, network analysis, sociometric analysis, relational analysis |
| 관련 | 5 | 5 |
| 요약≠ | Two-mode network analysis examines networks built from two distinct types of nodes — such as actors and events, authors and papers, or companies and board members — connected only across types. By analysing this bipartite structure directly or projecting it onto one-mode networks, researchers uncover affiliation patterns, shared memberships, and structural duality that are invisible in standard one-mode social network analysis. | 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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