Previous efforts on data-based reconstruction focused on complex networks with pairwise or
two-body interactions. There is a growing interest in networks with higher-order or many …

Based on the binary time series data of social infection dynamics, we propose a general
framework to reconstruct the 2-simplicial complexes with two-body and three-body …

Due to the multilayer nature of real-world systems, the problem of inferring multilayer
network structures from nonlinear and complex dynamical systems is prominent in many …

There has been growing interest in exploring the coupled epidemic-awareness dynamics
within the multiplex network framework. Nevertheless, two important factors are not …

Individuals always exhibit distinct personal profiles ranging from education, social
experiences to risk tolerance, which induces a vastly different response in the behavior …

This paper investigates the issue of fixed-time intralayer synchronization of stochastic
switched duplex networks (SSDNs) with limited communication. Firstly, control scheme …

Existing methods regarding the influential nodes identification in complex networks usually
assume that the structures of the networks are fully known. However, in many cases …

The basic reproduction number R 0 is an important indicator of the severity for an epidemic
outbreak, but it may not be obtained easily for heterogeneous populations especially with …

An excellent method for predicting links in multiplex networks is reflected in its ability to
reconstruct them accurately. Although link prediction methods perform well on estimating the …

Many link prediction algorithms regarding single-layer social networks have been proposed,
and however, how to predict interlayer links in multiplex social networks is still in the initial …