With the support of the National Science Fund for Distinguished Young Scholars (Project No. 61425019), Prof. LI Xiang's Adaptive Network and Control (CAN) Laboratory recently announced their new work of reconstructing temporal dynamical networks by by using the diffusive arrival time (DAT) of the diffusion process, and the paper entitled "Reconstruction of stochastic temporal networks through diffusive arrival times" has been published on June 12, 2017 in Nature · Communications (link: http://www.nature.com/articles/ncomms15729).

This is "an important first step" on this research, as commented by one reviewer, and may provide new thinking with wide applications in the fields of social computation and predictions with human dynamics, data protection, especially in the big-data era of today.

Prof. LI Xiang and his CAN team has been engaged in the frontier research of complex network science and engineering in the past decade. Prof. Li received the IEEE Circuits and Systems Society Guillemin-Cauer Best Paper Award in 2005, the winner of the National Science Fund for Distinguished Young Scholars in 2014, and was awarded in 2015 the Second Prize of National Natural Science Award, etc.