102 citations · 217 across the 8 of their papers we have counts for
8 papers
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…
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…
The essential role of time in network-based recommendation
Alexandre Vidmer, Matus Medo
Random walks on bipartite networks have been used extensively to design personalized recommendation methods. While aging has been identified as a key component in the growth of inf…
Prediction in complex systems: the case of the international trade network
Alexandre Vidmer, An Zeng, Matúš Medo +1
Predicting the future evolution of complex systems is one of the main challenges in complexity science. Based on a current snapshot of a network, link prediction algorithms aim to…
Measuring economic complexity of countries and products: which metric to use?
Manuel Sebastian Mariani, Alexandre Vidmer, Matus Medo +1
Evaluating the economies of countries and their relations with products in the global market is a central problem in economics, with far-reaching implications to our theoretical un…
Information filtering via hybridization of similarity preferential diffusion processes
An Zeng, Alexandre Vidmer, Matus Medo +1
The recommender system is one of the most promising ways to address the information overload problem in online systems. Based on the personal historical record, the recommender sys…