Analysis of multilayer clustering algorithms for the application to brain functional connectivity
An important feature of complex networks that can help to understand their internal organization is community structure. Recognize such structures in brain networks could be crucial, as the brain functioning is thought to be based on modular organization. Moreover, brain networks are intrinsically multilayer, which essentially means they can vary in time, in frequency or other domains depending on the topology of the network. In the last decades, some multilayer clustering algorithm has been developed with the aim to identify communities in dynamic networks.