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Université de Fribourg

Computational network biology: Data, models, and applications

Liu, Chuang ; Ma, Yifang ; Zhao, Jing ; Nussinov, Ruth ; Zhang, Yi-Cheng ; Cheng, Feixiong ; Zhang, Zi-Ke

In: Physics Reports, 2020, vol. 846, p. 1–66

Biological entities are involved in intricate and complex interactions, in which uncovering the biological information from the network concepts are of great significance. Benefiting from the advances of network science and high-throughput biomedical technologies, studying the biological systems from network biology has attracted much attention in recent years, and networks have long been...

Université de Fribourg

Ranking game on networks: The evolution of hierarchical society

Zhang, Xin-Jie ; Tanga, Yong ; Xiong, Jason ; Wang, Wei-Jia ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140

Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...

Université de Fribourg

Supply and demand law under variable information

Yuan, Guanghui ; Han, Jingti ; Zhou, Lei ; Liang, Hejun ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, p. 121004

When the product quality is limited and the information capability is variable, we propose the enterprise enhances corporate profits by changing the relationship between market demand and external resources. We assume that the information capacity can be changed through the input of external resources. In this paper, we present a research agenda that empowers external resources to transform...

Université de Fribourg

Parallel heuristic community detection method based on node similarity

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

In: IEEE Access, 2019, vol. 7, p. 184145–184159

Community structure discovery can help us better understand the capabilities and functions of the network. However, many existing methods have failed to identify nodes in communities accurately. In this paper, we proposed a heuristic community detection method based on node similarities that are computed by assigning different edge weight influence factors based on different neighbor types of...

Université de Fribourg

K-core: Theories and applications

Kong, Yi-Xiu ; Shi, Gui-Yuan ; Wu, Rui-Jie ; Zhang, Yi-Cheng

In: Physics Reports, 2019, vol. 832, p. 1–32

With the rapid development of science and technology, the world is becoming increasingly connected. The following dire need for understanding both the relationships amongst individuals and the global structural characteristics brings forward the study of network sciences and many interdisciplinary subjects in recent years. As a result, it is crucial to have methods and algorithms that help us...

Université de Fribourg

Predicting financial extremes based on weighted visual graph of major stock indices

Chen, Dong-Rui ; Liu, Chuang ; Zhang, Yi-Cheng ; Zhang, Zi-Ke

In: Complexity, 2019, vol. 2019, p. 1–17

Understanding and predicting extreme turning points in the financial market, such as financial bubbles and crashes, has attracted much attention in recent years. Experimental observations of the superexponential increase of prices before crashes indicate the predictability of financial extremes. In this study, we aim to forecast extreme events in the stock market using 19-year time-series...

Université de Fribourg

How network topologies impact project alliance performance: evidence from the movie industry

Zhang, Xin-Jie ; Tang, Yong ; Xiong, Jason ; Wang, Wei-Jia ; Zhang, Yi-Cheng

In: Entropy, 2019, vol. 21, no. 9, p. 859

In many industries, partners are interconnected in project alliances that have limited lifespans and clearly-defined boundaries. The transparency of the movie industry provides a unique opportunity to study how alliance network topologies impact the performance of project alliances from the perspectives of social networks and organization theories. In this work, we compiled a massive movie...

Université de Fribourg

Computational socioeconomics

Gao, Jian ; Zhang, Yi-Cheng ; Zhou, Tao

In: Physics Reports, 2019, vol. 817, p. 1–104

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic processes provides foundations to quantify global economic development, to map regional industrial structure, and to infer individual socioeconomic status. In this review, we will make a brief manifesto about a new ...

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...