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Fig. 1 | Applied Network Science

Fig. 1

From: The many facets of community detection in complex networks

Fig. 1

Schematic of four different approaches to community detection. (i) The cut based perspective aims at minimising the number of links between modules, independently of their intrinsic structure. (ii) The clustering perspective produces groups of densely connected modules. (iii) The stochastic equivalence perspective looks for modules in which nodes are stochastically equivalent, typically as inferred via a generative statistical graph model. (iv) The dynamical perspective focuses on the impact of communities on dynamical processes and searches for dynamically relevant coarse grained descriptions

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