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.