We study the Kuramoto model with attractive sine coupling. We introduce a complex-valued
matrix formulation whose argument coincides with the original Kuramoto dynamics. We …

Recently, more and more network fraud incidents have damaged the interests of cloud
service traders. To enhance mutual trust and win–win cooperation between the users and …

Controllability and observability of complex systems are vital concepts in many fields of
science. The network structure of the system plays a crucial role in determining its …

Since its introduction, the'small-world'effect has played a central role in network science,
particularly in the analysis of the complex networks of the nervous system. From the cellular …

Deep Neural Networks (DNNs) are usually over-parameterized, causing excessive memory
and interconnection cost on the hardware platform. Existing pruning approaches remove …

The sampling of graph signals has recently drawn much attention due to the wide
applications of graph signal processing. While a lot of efficient methods and interesting …

Complex random networks provide a powerful mathematical framework to study high-
dimensional physical and biological systems. Several features of network structure (eg …

The complex interaction of billions of neurons through trillions of synapses makes brain an
excellent case of a complex system. The membrane potential, the level of …

The central coefficients of powers of certain polynomials with arbitrary degree in x form an
important family of integer sequences. Although various recursive equations addressing …

In recent years, small-world graphs have gained considerable interest as models of real-
world systems, which often display features residing between regularity and randomness …