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| Phân tích mạng nhỏ-thế giới và mạng không thang đo× | Mô hình Đồ thị Ngẫu nhiên Lũy thừa (ERGM / p*)× | |
|---|---|---|
| Lĩnh vực | Phân tích mạng lưới | Phân tích mạng lưới |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1998 (small-world); 1999 (scale-free) | 1986 (foundational); modern ERGM framework 1996–2007 |
| Người khởi xướng≠ | — | Frank & Strauss (1986); extended by Wasserman & Pattison (1996) and Robins et al. (2007) |
| Loại≠ | Descriptive / exploratory network analysis | Probabilistic generative network model |
| Công trình gốc≠ | Watts, D.J. & Strogatz, S.H. (1998). Collective Dynamics of 'Small-World' Networks. Nature, 393(6684), 440-442. DOI ↗ | Robins, G., Pattison, P., Kalish, Y., & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173-191. DOI ↗ |
| Tên gọi khác≠ | Küçük Dünya ve Ölçek-Bağımsız Ağ Analizi, small-world network, scale-free network, preferential attachment analysis | ERGM, p-star model, p* model, Üstel Rastgele Graf Modeli (ERGM / p*) |
| Liên quan≠ | 9 | 6 |
| Tóm tắt≠ | Small-world and scale-free network analysis tests whether a real-world network exhibits two landmark topological signatures identified in 1998-1999: the Watts-Strogatz small-world property (high local clustering combined with short average path lengths) and the Barabási-Albert scale-free property (a degree distribution that follows a power law, meaning a small number of hubs connect to a disproportionately large share of other nodes). Together these frameworks transformed network science by showing that many social, biological, and technological networks share a common structural grammar. | The Exponential Random Graph Model (ERGM), also known as the p* model, is a statistical framework for network analysis that models the probability of an observed network as a function of its local structural features — such as reciprocity, triangles, and degree distribution. Developed from the foundational work of Frank and Strauss (1986) and extended into the modern framework by Wasserman and Pattison (1996) and Robins et al. (2007), ERGM is the inferential standard for social network analysis, capable of testing whether observed network structures arise by chance or reflect genuine social processes. |
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