Refine my results

Document type


Specific Collection




    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,...

    Université de Fribourg

    Scaling and memory in recurrence intervals of Internet traffic

    Cai, Shi-Min ; Fu, Zhong-Qian ; Zhou, Tao ; Gu, Jun ; Zhou, Pei-Ling

    In: Europhysics Letters, 2009, vol. 87, p. 68001

    By studying the statistics of recurrence intervals, τ, between volatilities of Internet traffic rate changes exceeding a certain threshold q, we find that the probability distribution functions, Pq(τ), for both byte and packet flows, show scaling property as $P_{q}(\tau)=\frac{1}{\overline{\tau}}f(\frac{\tau}{\overline{\tau}})$. The scaling functions for both byte and packet flows obey the...