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| Analisis Rangkaian Dua-Mod Diberat× | Analisis Jaringan Sosial Berbobot× | |
|---|---|---|
| Bidang | Analisis Rangkaian | Analisis Rangkaian |
| Keluarga | Machine learning | Machine learning |
| Tahun asal≠ | 1997 (two-mode); weighted extensions 2000s | 2004–2010 |
| Pengasas≠ | Borgatti, S. P. & Everett, M. G. | Barrat, A.; Opsahl, T. et al. |
| Jenis≠ | Network structural analysis | Network analysis framework |
| Sumber perintis≠ | Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269. DOI ↗ | Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752. DOI ↗ |
| Alias | weighted bipartite network analysis, valued two-mode network analysis, weighted affiliation network analysis, W2MNA | Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | Weighted two-mode network analysis examines bipartite graphs in which two distinct node sets — such as actors and events, authors and papers, or species and habitats — are connected by edges carrying numerical weights that capture the strength, frequency, or intensity of each affiliation. Incorporating weights provides substantially richer structural insights than unweighted bipartite analysis. | Weighted Social Network Analysis extends classical SNA by assigning numeric values — weights — to ties between actors, capturing tie strength, interaction frequency, or resource flow. Rather than treating all connections as equal, it reveals who holds privileged positions by virtue of the intensity, not merely the existence, of their relationships. |
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