219 citations · 301 across the 16 of their papers we have counts for
16 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…
Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification
Hao Liao, Jiao Wu, Mingyang Zhou +1
The goal of the ranking problem in networks is to rank nodes from best to worst, according to a chosen criterion. In this work, we focus on ranking the nodes according to their qua…
Accumulative time-based ranking method to reputation evaluation in information networks
Hao Liao, Qi-xin Liu, Ze-cheng Huang +2
With the rapid development of modern technology, the Web has become an important platform for users to make friends and acquire information. However, since information on the Web i…
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…
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…
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…
Towards an objective ranking in online reputation systems: the effect of the rating projection
Hao Liao, An Zeng, Yi-Cheng Zhang
Online reputation systems are commonly used by e-commerce providers nowadays. In order to generate an objective ranking of online items' quality according to users' ratings, many s…
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…
Ranking users, papers and authors in online scientific communities
Hao Liao, Rui Xiao, Giulio Cimini +1
The ever-increasing quantity and complexity of scientific production have made it difficult for researchers to keep track of advances in their own fields. This, together with growi…