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...
Saved in:
Main Authors: | Jiachen Sun, Ling Feng, Jiarong Xie, Xiao Ma, Dashun Wang, Yanqing Hu |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
|
Subjects: | |
Online Access: | https://doaj.org/article/7df6d84fc6ed41f38d5c66f17dc5138c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of conotoxin type based on long short-term memory network
by: Feng Wang, et al.
Published: (2021) -
Intrinsic motor network connectivity predicts corticospinal excitability
by: Laura Marzetti, et al.
Published: (2021) -
Intrinsic brain network abnormalities in migraines without aura revealed in resting-state fMRI.
by: Ting Xue, et al.
Published: (2012) -
Spreading predictability in complex networks
by: Na Zhao, et al.
Published: (2021) -
On local intrinsic dimensionality of deformation in complex materials
by: Shuo Zhou, et al.
Published: (2021)