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Vægtet to-mode netværksanalyse×Vægtet modularitetsanalyse×
FagområdeNetværksanalyseNetværksanalyse
FamilieMachine learningMachine learning
Oprindelsesår1997 (two-mode); weighted extensions 2000s2004
OphavspersonBorgatti, S. P. & Everett, M. G.Newman, M. E. J.
TypeNetwork structural analysisCommunity structure optimization on weighted graphs
Oprindelig kildeBorgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269. DOI ↗Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131. DOI ↗
Aliasserweighted bipartite network analysis, valued two-mode network analysis, weighted affiliation network analysis, W2MNAweighted modularity, weighted Q optimization, weighted network community detection, strength-based modularity
Relaterede65
ResuméWeighted two-mode network analysis examines bipartite graphs in which two distinct node sets — such as actors and events, authors and papers, or species and habitats — are connected by edges carrying numerical weights that capture the strength, frequency, or intensity of each affiliation. Incorporating weights provides substantially richer structural insights than unweighted bipartite analysis.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.
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ScholarGateSammenlign metoder: Weighted Two-Mode Network Analysis · Weighted Modularity Analysis. Hentet 2026-06-15 fra https://scholargate.app/da/compare