Porovnat metody

	Analýza vážené modularity	Analýza vážených sociálních sítí
Obor	Analýza sítí	Analýza sítí
Rodina	Machine learning	Machine learning
Rok vzniku	2004	2004–2010
Tvůrce	Newman, M. E. J.	Barrat, A.; Opsahl, T. et al.
Typ	Community structure optimization on weighted graphs	Network analysis framework
Původní zdroj	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.
Další názvy	weighted modularity, weighted Q optimization, weighted network community detection, strength-based modularity	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
Příbuzné	5	6
Shrnutí	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.