简介：信息包传递和通讯网络是一种自然和社会中常见的网络，重构它的结构和边权，可以帮助我们更好的了解信息包传递的动力学以及更好地设计路由策略。通过检测节点的进出信息包流量，我们基于压缩感知算法，提出了重构信息包传递网络的方法，并在不同网络和路由策略下验证了该方法的有效性和鲁棒性。同时我们还推断出了相应的路由策略和参数。
Abstract：Transportation and communication networks are ubiquitous in nature and society. Uncovering the underlying topology as well as link weights, is fundamental to understanding traffic dynamics and designing effective control strategies to facilitate transmission efficiency. We develop a general method for reconstructing transportation networks from detectable traffic flux data using the aid of a compressed sensing algorithm. Our approach enables full reconstruction of network topology and link weights for both directed and undirected networks from relatively small amounts of data compared to the network size. The limited data requirement and certain resistance to noise allows our method to achieve real-time network reconstruction. We substantiate the effectiveness of our method through systematic numerical tests with respect to several different network structures and transmission strategies. We expect our approach to be widely applicable in a variety of transportation and communication systems.
