我们很高兴看到：中国人在PRL上又发表了一篇最新文章。噪声的作用历来具有双重性：它既有破坏作用，又有建设性作用。这篇文章就是利用噪声研究发现了：在存在噪声下这类耦合振荡器组成的网络系统中动力学性质（关联）与拓扑（模式）互动之间一对一的关系，并且具有一般性和普适性。很值得我们网络科学论坛圈子里朋友一读。

我认为：这是网络科学中的一个前沿课题，正如，我在2009年“第五届全国网络论坛”上以题为“网络科学杂谈:回顾与展望”的报告中，曾经强调了“八个挑战性课题”，这是8个挑战性课题中的首要课题，即“今后需要深入理解在网络中发生的动力学过程和物理机制问题（与拓扑关系等），需要深刻理解所能感知的复杂系统的行为特性，以及物理的终极问题。”

我们中国人在PRL发表的这篇文章很出色地研究了上述一个前沿课题，他们的研究发现令人鼓舞，极富启发性，必将引发网络科学的前沿课题与其他课题的更深入研究。谁说我们中国人在网络科学领域没有出色的表现？该文的作者是四位中国人,都是我们学术界很熟悉的科学家，他们当中有的人已经在PRL上发表过多篇论文，他们在这个领域的表现和贡献难道不杰出吗？他们确实是矫矫者。我们在这里衷心祝贺他们，并期待他们取得更大的成绩！为网络科学作出更多的贡献！ 

请看下面论文摘要,全文看附录.

Noise Bridges Dynamical Correlation and Topology in Coupled Oscillator Networks

Jie Ren,^1,2 Wen-Xu Wang, ³  Baowen Li, ^1,2 and Ying-Cheng Lai^3，4

¹NUS GraduateSchool for Integrative Sciences and Engineering, Singapore 117456, Republic of Singapore

²Department of Physics and Centre for Computational Science and Engineering, NationalUniversity of Singapore,

Singapore 117546, Republic of Singapore

³School of Electrical, Computer, and Energy Engineering, ArizonaStateUniversity, Tempe, Arizona85287, USA

⁴Department of Physics, ArizonaStateUniversity, Tempe, Arizona85287, USA

(Received 5 October 2009; published 4 February 2010)

We study the relationship between dynamical properties and interaction patterns in complex oscillator

networks in the presence of noise. A striking finding is that noise leads to a general, one-to-one

correspondence between the dynamical correlation and the connections among oscillators for a variety

of node dynamics and network structures. The universal finding enables an accurate prediction of the full

network topology based solely on measuring the dynamical correlation. The power of the method for

network inference is demonstrated by the high success rate in identifying links for distinct dynamics on

both model and real-life networks. The method can have potential applications in various fields due to its

generality, high accuracy, and efficiency.

DOI: 10.1103/PhysRevLett.104.058701 PACS numbers: 89.75.Hc, 05.45.Xt