方法证据记录
Weighted Temporal Network Analysis
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Weighted Temporal Network Analysis (Time-Varying Weighted Graph Analysis)
分类方法记录 · ml-model / network-analysis
- Holme, P. & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. · DOI 10.1016/j.physrep.2012.03.001
- Barrat, A., Barthelemy, 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 10.1073/pnas.0400087101
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