So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phân tích mạng xã hội định hướng× | Phân tích mạng xã hội× | |
|---|---|---|
| Lĩnh vực | Phân tích mạng lưới | Phân tích mạng lưới |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1994 | 1934 (sociometry); 1994 (modern formalization) |
| Người khởi xướng≠ | Wasserman, S. & Faust, K. | Moreno, J.L.; formalized by Wasserman & Faust |
| Loại≠ | Structural analysis of directed graphs | Structural/relational analysis framework |
| Công trình gốc | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Tên gọi khác | directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis | SNA, network analysis, sociometric analysis, relational analysis |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | Directed Social Network Analysis (directed SNA) studies networks in which every tie has an explicit direction — from a sender to a receiver — rather than treating relationships as symmetric. It extends the classical SNA toolkit with in-degree, out-degree, reciprocity, and asymmetric path measures, making it the appropriate framework wherever relationship direction carries substantive meaning, such as citation flows, advice-seeking, follower graphs, or information cascades. | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|