-
Article
Suppression of seismic random noise by deep learning combined with stationary wavelet packet transform
Many traditional denoising methods, such as Gaussian filtering, tend to blur and lose details or edge information while reducing noise. The stationary wavelet packet transform is a multi-scale and multi-band a...
-
Article
Optimizing optimization: accurate detection of hidden interactions in active body systems from noisy data
Given deficient and noisy movement data from a pedestrian crowd—a class of active body systems, is it possible to uncover the hidden group interaction patterns or connections? Yes, it is possible. Here, we dev...
-
Article
Rebels Lead to the Doctrine of the Mean: A Heterogeneous DeGroot Model
The DeGroot model is one of the most classical models in the field of opinion dynamics. The standard DeGroot model assumes that agents are homogeneous and update their opinions in the direction of a weighted a...
-
Article
Open AccessLocating multiple diffusion sources in time varying networks from sparse observations
Data based source localization in complex networks has a broad range of applications. Despite recent progress, locating multiple diffusion sources in time varying networks remains to be an outstanding problem....
-
Article
Open AccessEqual status in Ultimatum Games promotes rational sharing
Experiments on the Ultimatum Game (UG) repeatedly show that people’s behaviour is far from rational. In UG experiments, a subject proposes how to divide a pot and the other can accept or reject the proposal, i...
-
Article
Open AccessSimple spatial scaling rules behind complex cities
Although most of wealth and innovation have been the result of human interaction and cooperation, we are not yet able to quantitatively predict the spatial distributions of three main elements of cities: popul...
-
Article
Open AccessUniversal model of individual and population mobility on diverse spatial scales
Studies of human mobility in the past decade revealed a number of general scaling laws. However, to reproduce the scaling behaviors quantitatively at both the individual and population levels simultaneously re...
-
Article
Open AccessUniversal framework for edge controllability of complex networks
Dynamical processes occurring on the edges in complex networks are relevant to a variety of real-world situations. Despite recent advances, a framework for edge controllability is still required for complex ne...
-
Article
Open AccessPhysical controllability of complex networks
A challenging problem in network science is to control complex networks. In existing frameworks of structural or exact controllability, the ability to steer a complex network toward any desired state is measur...
-
Article
Open AccessSpreading to localized targets in complex networks
As an important type of dynamics on complex networks, spreading is widely used to model many real processes such as the epidemic contagion and information propagation. One of the most significant research ques...
-
Article
Open AccessReconstructing direct and indirect interactions in networked public goods game
Network reconstruction is a fundamental problem for understanding many complex systems with unknown interaction structures. In many complex systems, there are indirect interactions between two individuals with...
-
Article
Open AccessControl efficacy of complex networks
Controlling complex networks has become a forefront research area in network science and engineering. Recent efforts have led to theoretical frameworks of controllability to fully control a network through ste...
-
Article
Open AccessA geometrical approach to control and controllability of nonlinear dynamical networks
In spite of the recent interest and advances in linear controllability of complex networks, controlling nonlinear network dynamics remains an outstanding problem. Here we develop an experimentally feasible con...
-
Article
Open AccessMultiplex congruence network of natural numbers
Congruence theory has many applications in physical, social, biological and technological systems. Congruence arithmetic has been a fundamental tool for data security and computer algebra. However, much less a...
-
Article
Open AccessExponential decay of spatial correlation in driven diffusive system: A universal feature of macroscopic homogeneous state
Driven diffusive systems have been a paradigm for modelling many physical, chemical and biological transport processes. In the systems, spatial correlation plays an important role in the emergence of a variety...
-
Article
Uncovering transportation networks from traffic flux by compressed sensing
Transportation and communication networks are ubiquitous in nature and society. Uncovering the underlying topology as well as link weights, is fundamental to understanding traffic dynamics and designing effect...
-
Article
Open AccessScaling behaviours in the growth of networked systems and their geometric origins
Two classes of scaling behaviours, namely the super-linear scaling of links or activities and the sub-linear scaling of area, diversity, or time elapsed with respect to size have been found to prevail in the g...
-
Article
Open AccessIntrinsic dynamics induce global symmetry in network controllability
Controlling complex networked systems to desired states is a key research goal in contemporary science. Despite recent advances in studying the impact of network topology on controllability, a comprehensive un...
-
Article
Open AccessReconstructing propagation networks with natural diversity and identifying hidden sources
Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstruct...
-
Chapter
Conclusions
Despite tremendous knowledge about fluid flows, our understanding of nonlinear dynamics in two-phase flows is still quite limited. We have proposed a scheme based on complex network to investigate gas-water an...
