Physics – Physics and Society
Scientific paper
2011-10-24
Phys. Rev. E 85, 036101 (2012)
Physics
Physics and Society
7 pages, 7 figures
Scientific paper
Identifying and removing spurious links in complex networks is a meaningful problem for many real applications and is crucial for improving the reliability of network data, which in turn can lead to a better understanding of the highly interconnected nature of various social, biological and communication systems. In this work we study the features of different simple spurious link elimination methods, revealing that they may lead to the distortion of networks' structural and dynamical properties. Accordingly, we propose a hybrid method which combines similarity-based index and edge-betweenness centrality. We show that our method can effectively eliminate the spurious interactions while leaving the network connected and preserving the network's functionalities.
Cimini Giulio
Zeng An
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