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Université de Fribourg

Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data

Xu, Shuqi ; Mariani, Manuel Sebastian ; Lü, Linyuan ; Medo, Matúš

In: Journal of Informetrics, 2020, vol. 14, no. 1, p. 101005

Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation...

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

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

The long-term impact of ranking algorithms in growing networks

Zhang, Shilun ; Medo, Matúš ; Lü, Linyuan ; Mariani, Manuel Sebastian

In: Information Sciences, 2019, vol. 488, p. 257–271

When users search online for content, they are constantly exposed to rankings. For example, web search results are presented as a ranking of relevant websites, and online bookstores often show us lists of best-selling books. While popularity-based ranking algorithms (like Google’s PageRank) have been extensively studied in previous works, we still lack a clear understanding of their...

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

Link prediction in bipartite nested networks

Medo, Matúš ; Mariani, Manuel Sebastian ; Lü, Linyuan

In: Entropy, 2018, vol. 20, no. 10, p. 777

Real networks typically studied in various research fields—ecology and economic complexity, for example—often exhibit a nested topology, which means that the neighborhoods of high-degree nodes tend to include the neighborhoods of low-degree nodes. Focusing on nested networks, we study the problem of link prediction in complex networks, which aims at identifying likely candidates for...

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...