Krahasoni metodat

	Zbulimi Dinamik i Komuniteteve	Modeli Bllokues Stokastik
Fusha	Analiza e rrjeteve	Analiza e rrjeteve
Familja	Machine learning	Process / pipeline
Viti i origjinës	2010 (key formalization); earlier work 2002–2009	1983
Krijuesi	Mucha, P. J. et al. (key formalization); earlier work by Girvan & Newman (2002)	—
Lloji	Graph clustering / community discovery	Probabilistic generative graph model
Burimi themelues	Mucha, 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.	Holland, P.W., Laskey, K.B. & Leinhardt, S. (1983). Stochastic Blockmodels: First Steps. Social Networks, 5(2), 109-137.
Emërtime të tjera	DCD, temporal community detection, evolving community detection, dynamic graph clustering	SBM, degree-corrected SBM, DCSBM, Stokastik Blok Modeli (SBM)
Të lidhura	5	7
Përmbledhja	Dynamic community detection identifies groups of densely connected nodes in networks that evolve over time, tracking how communities form, merge, split, and dissolve across temporal snapshots. Developed to extend static modularity optimization to time-varying structures, it is widely used in social, biological, and communication network research.	The Stochastic Block Model (SBM), introduced by Holland, Laskey and Leinhardt (1983), is a probabilistic generative model for graphs that assigns nodes to latent blocks and parametrically estimates the connection probabilities between blocks. It is the foundational approach for community detection, core-periphery identification, and hierarchical structure discovery in network analysis.