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Vážená analýza sítí s dvěma módy×Analýza vážené modularity×
OborAnalýza sítíAnalýza sítí
RodinaMachine learningMachine learning
Rok vzniku1997 (two-mode); weighted extensions 2000s2004
TvůrceBorgatti, S. P. & Everett, M. G.Newman, M. E. J.
TypNetwork structural analysisCommunity structure optimization on weighted graphs
Původní zdrojBorgatti, 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 ↗
Další názvyweighted bipartite network analysis, valued two-mode network analysis, weighted affiliation network analysis, W2MNAweighted modularity, weighted Q optimization, weighted network community detection, strength-based modularity
Příbuzné65
ShrnutíWeighted 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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ScholarGatePorovnat metody: Weighted Two-Mode Network Analysis · Weighted Modularity Analysis. Získáno 2026-06-15 z https://scholargate.app/cs/compare