विधियों की तुलना करें

	भारित सामयिक नेटवर्क विश्लेषण	भारित सामाजिक नेटवर्क विश्लेषण (Weighted Social Network Analysis)
क्षेत्र	नेटवर्क विश्लेषण	नेटवर्क विश्लेषण
परिवार	Machine learning	Machine learning
उद्भव वर्ष	2004–2012	2004–2010
प्रवर्तक	Holme, P. & Saramaki, J. (temporal networks); Barrat et al. (weighted networks)	Barrat, A.; Opsahl, T. et al.
प्रकार	Network analysis technique	Network analysis framework
मौलिक स्रोत	Holme, P. & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125.	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.
उपनाम	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
संबंधित	6	6
सारांश	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.