Community Detection in Complex Networks via Dynamics

Marcos Maia, Elbert Macau

We use the dynamics of complex networks to identify communities. A well appropriated mathematical approach is used to study the behavior of the model’s solutions. A quality function called clustering density is introduced to measure the effectiveness of the com- munities identification. Illustrations with real networks with community structure are presented.

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