219 citations · 301 across the 16 of their papers we have counts for
8 papers · 1 filter
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…
Learning the optimally coordinated routes from the statistical mechanics of polymers
Hao Liao, Xingtong Wu, Mingyang Zhou +1
Many major cities suffer from severe traffic congestion. Road expansion in the cites is usually infeasible, and an alternative way to alleviate traffic congestion is to coordinate…
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…
Susceptible-infected-susceptible model on networks with eigenvector localization
Zong-Wen Wei, Bing-Hong Wang
It is a longstanding debate on the absence of threshold for susceptible-infected-susceptible (SIS) model on networks with finite second order moment of degree distribution. The eig…
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…
Analysis of ground state in random bipartite matching
Gui-Yuan Shi, Yi-Xiu Kong, Hao Liao +1
In human society, a lot of social phenomena can be concluded into a mathematical problem called the bipartite matching, one of the most well known model is the marriage problem pro…
Predicting missing links via correlation between nodes
Hao Liao, An Zeng, Yi-Cheng Zhang
As a fundamental problem in many different fields, link prediction aims to estimate the likelihood of an existing link between two nodes based on the observed information. Since th…
Reconstructing propagation networks with temporal similarity metrics
Hao Liao, An Zeng
Node similarity is a significant property driving the growth of real networks. In this paper, based on the observed spreading results we apply the node similarity metrics to recons…