The coexistence of multiple types of interactions within social, technological, and biological
networks has motivated the study of the multilayer nature of real-world networks. Meanwhile …

Based on transcriptomic data from four experimental settings with drought-resistant and
drought-sensitive cultivars under drought and well-watered conditions, statistical analysis …

Spreading process is a common phenomenon in complex networks. Identifying important
nodes in complex networks is of great significance in real-world applications. Based on the …

This study focuses on topology identification in two-layer networks with peer-to-peer
unidirectional couplings, where one layer (the response layer) receives information from the …

Topology identification of multilayer networks is of great significance in the fields of
information, engineering, and society. Current research on topology identification of …

Methodological advance in reconstructing the structure of a complex dynamical network
have enabled increasingly intricate comprehension of its evolutionary mechanisms and …

Reconstruction of networks underlying complex systems is one of the most crucial problems
in many areas of engineering and science. In this paper, rather than identifying parameters …

We investigate the phenomenon of vibrational resonance (VR) in neural populations,
whereby weak low-frequency signals below the excitability threshold can be detected with …

Complex networks with time-varying nodal parameters are of considerable interest and
significance in many areas of science and engineering. Reconstructing networks with …

Recovering network topologies is of great significance in the study of complex networks. In
this paper, a method for identifying structures of multilayer networks is proposed via …