Université de Fribourg

Economic complexity based recommendation enhance the efficiency of the belt and road initiative

Liao, Hao ; Huang, Xiao-Min ; Vidmer, Alexandre ; Zhang, Yi-Cheng ; Zhou, Ming-Yang

In: Entropy, 2018, vol. 20, no. 9, p. 718

The Belt and Road initiative (BRI) was announced in 2013 by the Chinese government. Its goal is to promote the cooperation between European and Asian countries, as well as enhancing the trust between members and unifying the market. Since its creation, more and more developing countries are joining the initiative. Based on the geographical location characteristics of the countries in this...

Université de Fribourg

Empirical paths to the spread of information in location-based social networks

Zhou, Ming-Yang ; Xiong, Wen-Man ; Liao, Hao ; Wang, Tong ; Wei, Zong-Wen

In: Journal of Statistical Mechanics: Theory and Experiment, 2018, vol. 2018, no. 12, p. 123404

Spreading phenomena in complex networks have attracted much attention in recent years. However, most of the previous works only concern the critical thresholds and final states of the spread. In this paper, we investigate the empirical spreading paths in real location-based networks and find an abnormal phenomenon that the transferring probability of an epidemic between users varies with...

Université de Fribourg

Enhancing countries’ fitness with recommender systems on the international trade network

Liao, Hao ; Huang, Xiao-Min ; Wu, Xing-Tong ; Liu, Ming-Kai ; Vidmer, Alexandre ; Zhou, Ming-Yang ; Zhang, Yi-Cheng

In: Complexity, 2018, p. -

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 policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries’ data of the International Trade Network. A recommendation system is then...

Université de Fribourg

Ranking in evolving complex networks

Liao, Hao ; Mariani, Manuel Sebastian ; Medo, Matúš ; Zhang, Yi-Cheng ; Zhou, Ming-Yang

In: Physics Reports, 2017, vol. 689, p. 1–54

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 networks is critical for a broad range of real-world problems because it affects how we access online information and products, how success and talent are evaluated in human activities, and how scarce resources are...

Université de Fribourg

Link prediction in evolving networks based on popularity of nodes

Wang, Tong ; He, Xing-Sheng ; Zhou, Ming-Yang ; Fu, Zhong-Qian

In: Scientific Reports, 2017, vol. 7, no. 1, p. 7147

Link prediction aims to uncover the underlying relationship behind networks, which could be utilized to predict missing edges or identify the spurious edges. The key issue of link prediction is to estimate the likelihood of potential links in networks. Most classical static-structure based methods ignore the temporal aspects of networks, limited by the time-varying features, such approaches...

Université de Fribourg

Enhancing speed of pinning synchronizability: low-degree nodes with high feedback gains

Zhou, Ming-Yang ; Zhuo, Zhao ; Liao, Hao ; Fu, Zhong-Qian ; Cai, Shi-Min

In: Scientific Reports, 2015, vol. 5, p. 17459

Controlling complex networks is of paramount importance in science and engineering. Despite recent efforts to improve controllability and synchronous strength, little attention has been paid to the speed of pinning synchronizability (rate of convergence in pinning control) and the corresponding pinning node selection. To address this issue, we propose a hypothesis to restrict the control cost,...