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Towards a unified definition of the clustering coefficient for brain networks
The brain is undoubtedly the most complex system known to humanity. Networks constitute the backbone of systems dynamics and there is a big arsenal of tools to describe relevant network properties. These tools can be employed to further study micro- and mesoscale organizations of the brain. Our goal here is to find out how diffe
@inproceedings{item_3134959, title = {{Towards a unified definition of the clustering coefficient for brain networks}}, journal = {{BMC Neuroscience}}, abstract = {The brain is undoubtedly the most complex system known to humanity. Networks constitute the backbone of systems dynamics and there is a big arsenal of tools to describe relevant network properties. These tools can be employed to further study micro- and mesoscale organizations of the brain. Our goal here is to find out how diffe}, volume = {20}, pages = {94--95}, publisher = {BioMed Central}, address = {Barcelona, Spain}, year = {2019}, note = {28th Annual Computational Neuroscience Meeting (CNS{\textasteriskcentered}2019)}, slug = {item_3134959}, author = {Hasanpour, M and Massobrio, P and Levina, A} }