Linganisha mbinu

	Uchambuzi wa Modularityi yenye Uzito	Uchanganuzi wa Mitandao ya Kijamii yenye Uzito
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	2004	2004–2010
Mwanzilishi	Newman, M. E. J.	Barrat, A.; Opsahl, T. et al.
Aina	Community structure optimization on weighted graphs	Network analysis framework
Chanzo asilia	Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131.	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.
Majina mbadala	weighted modularity, weighted Q optimization, weighted network community detection, strength-based modularity	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
Zinazohusiana	5	6
Muhtasari	Weighted modularity analysis extends the classical Newman-Girvan modularity measure to networks where edges carry numeric strengths (frequencies, intensities, costs). By replacing binary adjacency with tie weights, it finds community partitions that reflect how densely interconnected subgroups are relative to what is expected under a weighted null model, yielding more nuanced groupings than unweighted approaches on data where edge strength varies meaningfully.	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.