Author: Na Zhao; Jian Wang; Yong Yu; Jun-Yan Zhao; Duan-Bing Chen
Title: Spreading predictability in complex networks Document date: 2020_1_28
ID: 635lbedk_20
Snippet: Experimental results demonstrate that the model proposed could predict the infection 179 nodes precisely in the sense of probability. In this paper, we just discuss the prediction 180 model on static networks. The analyzing will get more difficult if the networks are 181 evolving [42] [43] [44] . Furthermore, we analyze the effect of structure of networks, but we 182 don't consider the moving or self-protecting of individuals while disease outbre.....
Document: Experimental results demonstrate that the model proposed could predict the infection 179 nodes precisely in the sense of probability. In this paper, we just discuss the prediction 180 model on static networks. The analyzing will get more difficult if the networks are 181 evolving [42] [43] [44] . Furthermore, we analyze the effect of structure of networks, but we 182 don't consider the moving or self-protecting of individuals while disease outbreaks.
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