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| Phân tích mạng lưới bản ngã có trọng số× | Độ trung tâm bậc (Degree Centrality)× | |
|---|---|---|
| Lĩnh vực | Phân tích mạng lưới | Phân tích mạng lưới |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1954–2002 | 1978 |
| Người khởi xướng≠ | Barnes, J. A.; Bott, E.; Marsden, P. V. | Freeman, L. C. |
| Loại≠ | Ego-centered network analysis with weighted ties | Node-level centrality measure |
| Công trình gốc≠ | Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗ | Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗ |
| Tên gọi khác | weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis | node degree, degree score, DC, connectivity centrality |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | 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. | Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis. |
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