Compara mètodes

	Anàlisi de modularitat ponderada	Centralitat de pas
Camp	Anàlisi de xarxes	Anàlisi de xarxes
Família	Machine learning	Machine learning
Any d'origen	2004	1977
Autor original	Newman, M. E. J.	Freeman, L. C.
Tipus	Community structure optimization on weighted graphs	Centrality measure
Font seminal	Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
Àlies	weighted modularity, weighted Q optimization, weighted network community detection, strength-based modularity	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
Relacionats	5	6
Resum	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.	Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.