The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Traditional link prediction methods are generally only calculated for the neighbor information
of nodes, and the network path between nodes has not been fully utilized. Therefore, this …

Many community detection algorithms have been developed to uncover the mesoscopic
properties of complex networks. However how good an algorithm is, in terms of accuracy …

Conventional functional connectivity (FC), referred to as low-order FC, estimates temporal
correlation of the resting-state functional magnetic resonance imaging (rs-fMRI) time series …

Identifying influential nodes in dynamical processes is crucial in understanding network
structure and function. Degree, H-index and coreness are widely used metrics, but …

Complex systems must respond to external perturbations and, at the same time, internally
distribute information to coordinate their components. Although networked backbones help …

Identifying influential nodes that lead to faster and wider spreading in complex networks is of
theoretical and practical significance. The degree centrality method is very simple but of little …

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 organization of real networks usually embodies both regularities and irregularities, and,
in principle, the former can be modeled. The extent to which the formation of a network can …