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गतिशील मॉड्यूलरिटी विश्लेषण×Multiplex Network Analysis×
क्षेत्रनेटवर्क विश्लेषणनेटवर्क विश्लेषण
परिवारMachine learningMachine learning
उद्भव वर्ष20102014
प्रवर्तकMucha, P. J.; Porter, M. A.; and colleaguesKivela, M.; Boccaletti, S. et al.
प्रकारCommunity detection on temporal networksStructural network model
मौलिक स्रोतMucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876–878. DOI ↗Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗
उपनामdynamic community structure analysis, temporal modularity optimization, evolving community detection, time-varying modularitymultiplex networks, multi-layer network analysis, multilayer network analysis, MNA
संबंधित56
सारांशDynamic modularity analysis extends the classical modularity framework to networks that evolve over time, detecting communities across a sequence of network snapshots while penalizing unnecessary community changes between time steps. It identifies cohesive groups and tracks how they form, merge, split, or dissolve, giving researchers a principled view of structural change in longitudinal network data.Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.
ScholarGateडेटासेट
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  1. v1
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  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Dynamic Modularity Analysis · Multiplex Network Analysis. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare