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Locating the propagation source in complex networks with a direction-induced search based Gaussian estimator

机译:在具有方向引起的基于高斯估计器的复杂网络中定位传播源

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摘要

Locating the propagation source is crucial for developing strategies to control the spreading process taking on complex networks. Gaussian estimator (GE) is one of the most effective methods for propagation source locating in networks with limited observers. However, on general graphs, due to GE makes an approximation that the actual diffusion tree in spreading process is assumed to be a breadth-first search (BFS) tree, and thus ignores the effect of direction information recorded in observers. Therefore, the accuracy of GE is affected. In this paper, by utilizing the direction information in observers, we define, for the first time, a novel direction-induced search (DIS). Further, a direction-induced search based Gaussian estimator (DISGE) is proposed by combining DIS and the original GE. Experimental results on a series of synthetic and real networks show that the DISGE is feasible and effective in locating the propagation source with limited observers. (C) 2020 Elsevier B.V. All rights reserved.
机译:定位传播源对开发控制复杂网络的扩展过程的策略至关重要。高斯估计器(GE)是具有有限观察者网络中的传播源最有效的方法之一。然而,在一般图表上,由于GE,由于GE表示扩散过程中的实际扩散树被认为是广度第一搜索(BFS)树,因此忽略记录在观察者中的方向信息的效果。因此,GE的准确性受到影响。在本文中,通过利用观察者中的方向信息,我们首次定义新颖的方向引起的搜索(DIS)。此外,通过组合DIS和原始GE提出了一种方向引起的基于的高斯估计器(丢失)。关于一系列合成和实际网络的实验结果表明,误导是可行的,并且在用有限观察者定位传播源方面是可行的。 (c)2020 Elsevier B.v.保留所有权利。

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