পদ্ধতির তুলনা করুন

	ওয়েটেড মডিউলারিটি বিশ্লেষণ	ভারিত সামাজিক নেটওয়ার্ক বিশ্লেষণ
ক্ষেত্র	নেটওয়ার্ক বিশ্লেষণ	নেটওয়ার্ক বিশ্লেষণ
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	2004	2004–2010
প্রবর্তক	Newman, M. E. J.	Barrat, A.; Opsahl, T. et al.
ধরন	Community structure optimization on weighted graphs	Network analysis framework
মৌলিক উৎস	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.
অপর নাম	weighted modularity, weighted Q optimization, weighted network community detection, strength-based modularity	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
সম্পর্কিত	5	6
সারসংক্ষেপ	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.