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Université de Fribourg

Industry upgrading: recommendations of new products based on world trade network

Zhang, Wen-Yao ; Chen, Bo-Lun ; Kong, Yi-Xiu ; Shi, OrcID, Gui-Yuan ; Zhang, Yi-Cheng

In: Entropy, 2019, vol. 21, no. 1, p. 39

GDP is a classic indicator of the extent of national economic development. Research based on the World Trade Network has found that a country’s GDP depends largely on the products it exports. In order to increase the competitiveness of a country and further increase its GDP, a crucial issue is finding the right direction to upgrade the industry so that the country can enhance its...

Université de Fribourg

How do the global stock markets influence one another? Evidence from finance big data and Granger causality directed network

Tang, Yong ; Xiong, Jason Jie ; Luo, Yong ; Zhang, Yi-Cheng

In: International Journal of Electronic Commerce, 2019, vol. 23, no. 1, p. 85–109

The recent financial network analysis approach reveals that the topologies of financial markets have an important influence on market dynamics. However, the majority of existing Finance Big Data networks are built as undirected networks without information on the influence directions among prices. Rather than understanding the correlations, this research applies the Granger causality test to...

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

Complexities in financial network topological dynamics: modeling of emerging and developed stock markets

Tang, Yong ; Xiong, Jason Jie ; Jia, Zi-Yang ; Zhang, Yi-Cheng

In: Complexity, 2018, p. -

Policy makings and regulations of financial markets rely on a good understanding of the complexity of financial markets. There have been recent advances in applying data-driven science and network theory into the studies of social and financial systems. Financial assets and institutions are strongly connected and influence each other. It is essential to study how the topological structures of...

Université de Fribourg

Social signature identification of dynamical social networks

Li, Ren-De ; Liu, Jian-Guo ; Guo, Qiang ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2018, vol. 508, p. 213–222

Understanding the social relation of dynamical online social networks (OSNs) is significant for identifying the strong and weak ties. In this paper, we empirically investigate the evolution characteristics of Facebook and Wiki users’ social signature, capturing the distribution of frequency of interactions between different alters over time in ego network. The statistical results show that...

Université de Fribourg

Structure-oriented prediction in complex networks

Ren, Zhuo-Ming ; Zeng, An ; Zhang, Yi-Cheng

In: Physics Reports, 2018, vol. 750, p. 1–51

Complex systems are extremely hard to predict due to its highly nonlinear interactions and rich emergent properties. Thanks to the rapid development of network science, our understanding of the structure of real complex systems and the dynamics on them has been remarkably deepened, which meanwhile largely stimulates the growth of effective prediction approaches on these systems. In this...

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

Randomizing growing networks with a time-respecting null model

Ren, Zhuo-Ming ; Mariani, Manuel Sebastian ; Zhang, Yi-Cheng ; Medo, Matú?

In: Physical Review E, 2018, vol. 97, no. 5, p. 052311

Complex networks are often used to represent systems that are not static but grow with time: People make new friendships, new papers are published and refer to the existing ones, and so forth. To assess the statistical significance of measurements made on such networks, we propose a randomization methodology—a time- respecting null model—that preserves both the network's degree sequence...

Université de Fribourg

Collective iteration behavior for online social networks

Liu, Jian-Guo ; Li, Ren-De ; Guo, Qiang ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2018, vol. 499, p. 490–497

Understanding the patterns of collective behavior in online social network (OSNs) is critical to expanding the knowledge of human behavior and tie relationship. In this paper, we investigate a specific pattern called social signature in Facebook and Wiki users’ online communication behaviors, capturing the distribution of frequency of interactions between different alters over time in the...