Revealing the predictability of intrinsic structure in complex networks
The likelihood of linking within a complex network is of importance to solve real-world problems, but it is challenging to predict. Sun et al. show that the link predictability limit can be well estimated by measuring the shortest compression length of a network without a need of prediction algorith...
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Main Authors: | , , , , , |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
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Subjects: | |
Online Access: | https://doaj.org/article/7df6d84fc6ed41f38d5c66f17dc5138c |
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