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Université de Fribourg

Quantitative learning strategies based on word networks

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

In: Physica A: Statistical Mechanics and its Applications, 2018, vol. 491, p. 898–911

Learning English requires a considerable effort, but the way that vocabulary is introduced in textbooks is not optimized for learning efficiency. With the increasing population of English learners, learning process optimization will have significant impact and improvement towards English learning and teaching. The recent developments of big data analysis and complex network science provide...

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

A dynamical approach to identify vertices centrality in complex networks

Guo, Long ; Zhang, Wen-Yao ; Luo, Zhong-Jie ; Gao, Fu-Juan ; Zhang, Yi-Cheng

In: Physics Letters A, 2017, vol. 381, no. 48, p. 3972–3977

In this paper, we proposed a dynamical approach to assess vertices centrality according to the synchronization process of the Kuramoto model. In our approach, the vertices dynamical centrality is calculated based on the Difference of vertices Synchronization Abilities (DSA), which are different from traditional centrality measurements that are related to the topological properties. Through...

Université de Fribourg

Separate density and viscosity measurements of unknown liquid using quartz crystal microbalance

Tan, Feng ; Qiu, Du-Yu ; Guo, Lian-Ping ; Ye, Peng ; Zeng, Hao ; Jiang, Jun ; Tang, Yong ; Zhang, Yi-Cheng

In: AIP Advances, 2016, vol. 6, no. 9, p. 095313

Aqueous liquids have a wide range of applications in many fields. Basic physical properties like the density and the viscosity have great impacts on the functionalities of a given ionic liquid. For the millions kinds of existing liquids, only a few have been systematically measured with the density and the viscosity using traditional methods. However, these methods are limited to measure the...

Université de Fribourg

Identification of milestone papers through time-balanced network centrality

Mariani, Manuel Sebastian ; Medo, , Matúš ; Zhang, Yi-Cheng

In: Journal of Informetrics, 2016, vol. 10, no. 4, p. 1207–1223

Citations between scientific papers and related bibliometric indices, such as the h- index for authors and the impact factor for journals, are being increasingly used – often in controversial ways – as quantitative tools for research evaluation. Yet, a fundamental research question remains still open: to which extent do quantitative metrics capture the significance of scientific works? We...

Université de Fribourg

Identification and impact of discoverers in online social systems

Medo, Matúš ; Mariani, Manuel S. ; Zeng, An ; Zhang, Yi-Cheng

In: Scientific Reports, 2016, vol. 6, p. 34218

Understanding the behavior of users in online systems is of essential importance for sociology, system design, e-commerce, and beyond. Most existing models assume that individuals in diverse systems, ranging from social networks to e-commerce platforms, tend to what is already popular. We propose a statistical time-aware framework to identify the users who differ from the usual behavior by...

Université de Fribourg

A generalized model via random walks for information filtering

Ren, Zhuo-Ming ; Kong, Yixiu ; Shang, Ming-Sheng ; Zhang, Yi-Cheng

In: Physics Letters A, 2016, vol. 380, no. 34, p. 2608–2614

There could exist a simple general mechanism lurking beneath collaborative filtering and interdisciplinary physics approaches which have been successfully applied to online E-commerce platforms. Motivated by this idea, we propose a generalized model employing the dynamics of the random walk in the bipartite networks. Taking into account the degree information, the proposed generalized model...

Université de Fribourg

Recovery rate affects the effective epidemic threshold with synchronous updating

Shu, Panpan ; Wang, Wei ; Tang, Ming ; Zhao, Pengcheng ; Zhang, Yi-Cheng

In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2016, vol. 26, no. 6, p. 63108

Accurate identification of effective epidemic threshold is essential for understanding epidemic dynamics on complex networks. In this paper, we systematically study how the recovery rate affects the susceptible-infected-removed spreading dynamics on complex networks, where synchronous and asynchronous updating processes are taken into account. We derive the theoretical effective epidemic...

Université de Fribourg

The mathematics of non-linear metrics for nested networks

Wu, Rui-Jie ; Shi, Gui-Yuan ; Zhang, Yi-Cheng ; Mariani, Manuel Sebastian

In: Physica A: Statistical Mechanics and its Applications, 2016, vol. 460, p. 254–269

Numerical analysis of data from international trade and ecological networks has shown that the non-linear fitness–complexity metric is the best candidate to rank nodes by importance in bipartite networks that exhibit a nested structure. Despite its relevance for real networks, the mathematical properties of the metric and its variants remain largely unexplored. Here, we perform an analytic...

Université de Fribourg

Analysis of ground state in random bipartite matching

Shi, Gui-Yuan ; Kong, Yi-Xiu ; Liao, Hao ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2016, vol. 444, p. 397–402

Bipartite matching problems emerge in many human social phenomena. In this paper, we study the ground state of the Gale–Shapley model, which is the most popular bipartite matching model. We apply the Kuhn–Munkres algorithm to compute the numerical ground state of the model. For the first time, we obtain the number of blocking pairs which is a measure of the system instability. We also show...