The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

The development of new technologies for map** structural and functional brain
connectivity has led to the creation of comprehensive network maps of neuronal circuits and …

Network science is an interdisciplinary endeavor, with methods and applications drawn from
across the natural, social, and information sciences. A prominent problem in network …

Complex functional brain networks are large networks of brain regions and functional brain
connections. Statistical characterizations of these networks aim to quantify global and local …

Real-world complex networks are composed of non-random quantitative interactions.
Identifying communities of nodes that tend to interact more with each other than the network …

Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …

The field of complex network clustering has been very active in the past several years. In this
paper, a discrete framework of the particle swarm optimization algorithm is proposed. Based …

Many real‐world networks are intimately organized according to a community structure.
Much research effort has been devoted to develop methods and algorithms that can …

Detecting communities in complex networks accurately is a prime challenge, preceding
further analyses of network characteristics and dynamics. Until now, community detection …

We investigate the relationship of resting-state fMRI functional connectivity estimated over
long periods of time with time-varying functional connectivity estimated over shorter time …