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_14
Snippet: Besides the network parameter listed above, the density of network, i.e., average 139 node degree ⟨k⟩, also affects the predictability and correlation, as shown in Fig. 4 . The effect of stage of snapshot 146 We further analyze the predictability χ and correlation Ï under different stage of 147 snapshot, as shown in Fig. 5 . In Fig. 5 , T is the spreading time of snapshot......
Document: Besides the network parameter listed above, the density of network, i.e., average 139 node degree ⟨k⟩, also affects the predictability and correlation, as shown in Fig. 4 . The effect of stage of snapshot 146 We further analyze the predictability χ and correlation Ï under different stage of 147 snapshot, as shown in Fig. 5 . In Fig. 5 , T is the spreading time of snapshot.
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