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Vážená analýza modularity×Vážená analýza sociálnych sietí×
OdborAnalýza sietíAnalýza sietí
RodinaMachine learningMachine learning
Rok vzniku20042004–2010
TvorcaNewman, M. E. J.Barrat, A.; Opsahl, T. et al.
TypCommunity structure optimization on weighted graphsNetwork analysis framework
Pôvodný zdrojNewman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131. DOI ↗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. DOI ↗
Ďalšie názvyweighted modularity, weighted Q optimization, weighted network community detection, strength-based modularityWeighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
Príbuzné56
ZhrnutieWeighted 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.
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ScholarGatePorovnať metódy: Weighted Modularity Analysis · Weighted Social Network Analysis. Získané 2026-06-18 z https://scholargate.app/sk/compare