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Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Vážená analýza časových sietí× | Vážená analýza sociálnych sietí× | |
|---|---|---|
| Odbor | Analýza sietí | Analýza sietí |
| Rodina | Machine learning | Machine learning |
| Rok vzniku≠ | 2004–2012 | 2004–2010 |
| Tvorca≠ | Holme, P. & Saramaki, J. (temporal networks); Barrat et al. (weighted networks) | Barrat, A.; Opsahl, T. et al. |
| Typ≠ | Network analysis technique | Network analysis framework |
| Pôvodný zdroj≠ | Holme, P. & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. 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 ↗ |
| Ďalšie názvy | WTNA, weighted time-varying network analysis, weighted dynamic network analysis, weighted evolving network analysis | Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis |
| Príbuzné | 6 | 6 |
| Zhrnutie≠ | Weighted temporal network analysis studies networks whose edges carry numerical weights — representing interaction strength, frequency, or intensity — and whose structure changes over time. It combines the time-varying perspective of temporal network analysis with the quantitative precision of weighted graph metrics, revealing not only when connections exist but how strong they are at each moment. | 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. |
| ScholarGateDátová sada ↗ |
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