Toward link predictability of complex networks

By Linyuan Lu, Liming Pan, Tao Zhou, Yi-Cheng Zhang, H. Eugene Stanley, Giorgio Parisi, Dashun Wang. Proceedings of the National Academy of Sciences of the United States of America, 2015

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Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data (2017, methodology): “Recently, a novel method named “ matrix perturbation method ” [30] is proposed, which utilize the network to predict missing links (unobserved DDIs).”
Vital nodes identification in complex networks (2016, methodology): “Due to the complexity of computation, a perturbative analysis was introduced [140] in order to obtain an approximation Î to I (see a similar perturbative analysis in [148]).”