219 citations · 230 across the 9 of their papers we have counts for
9 papers
Locating the eigenshield of a network via perturbation theory
Ming-Yang Zhou, Manuel Sebastian Mariani, Hao Liao +2
The functions of complex networks are usually determined by a small set of vital nodes. Finding the best set of vital nodes (eigenshield nodes) is critical to the network's robustn…
Epidemic Plateau: A Phenomenon under Adaptive Prevention Strategies
Hao Liao, Ziqiang Wu, Alexandre Vidmer +2
Since the beginning of the COVID-19 spreading, the number of studies on the epidemic models increased dramatically. It is important for policymakers to know how the disease will sp…
Temporal similarity metrics for latent network reconstruction: The role of time-lag decay
Hao Liao, Ming-Kai Liu, Manuel Sebastian Mariani +2
When investigating the spreading of a piece of information or the diffusion of an innovation, we often lack information on the underlying propagation network. Reconstructing the hi…
Enhancing countries' fitness with recommender systems on the international trade network
Hao Liao, Xiao-Min Huang, Xing-Tong Wu +4
Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help poli…
Hidden space reconstruction inspires link prediction in complex networks
Hao Liao, Mingyang Zhou, Zong-Wen Wei +3
As a fundamental challenge in vast disciplines, link prediction aims to identify potential links in a network based on the incomplete observed information, which has broad applicat…
Ranking in evolving complex networks
Hao Liao, Manuel Sebastian Mariani, Matus Medo +2
Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex systems. The problem of ranking the nodes and the edges in complex…
Link Prediction in evolving networks based on the popularity of nodes
Tong Wang, Ming-yang Zhou, Zhong-qian Fu
Link prediction aims to uncover the underlying relationship behind networks, which could be utilized to predict the missing edges or identify the spurious edges, and attracts much…
Enhancing speed of pinning synchronizability: low-degree nodes with high feedback gains
Ming-Yang Zhou, Zhao Zhuo, Hao Liao +2
Controlling complex networks is of paramount importance in science and engineering. Despite recent efforts to improve controllability and synchronous strength, little attention has…
Community structure revealed by phase locking
Ming-Yang Zhou, Zhao Zhuo, Shi-Min Cai +1
Community structure can naturally emerge in paths to synchronization, and scratching it from the paths is a tough issue that accounts for the diverse dynamics of synchronization. I…