Yijun Ran
Citado por
Citado por
CasSeqGCN: Combining network structure and temporal sequence to predict information cascades
Y Wang, X Wang, Y Ran, R Michalski, T Jia
Expert Systems with Applications 206, 117693, 2022
A generalized linear threshold model for an improved description of the spreading dynamics
Y Ran, X Deng, X Wang, T Jia
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (8), 2020
Predicting future links with new nodes in temporal academic networks
Y Ran, SY Liu, X Yu, KK Shang, T Jia
Journal of Physics: Complexity 3 (1), 015006, 2022
Measuring similarity in co-occurrence data using ego-networks
X Wang, Y Ran, T Jia
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (1), 2020
The maximum capability of a topological feature in link prediction
Y Ran, XK Xu, T Jia
PNAS nexus 3 (3), pgae113, 2024
A novel similarity measure for mining missing links in long-path networks
Y Ran, T Liu, T Jia, XK Xu
Chinese Physics B 31 (6), 068902, 2022
Predicting scientist collaboration by multiple motif features
S Xu, Y Ran, XK Xu
IEEE Transactions on Computational Social Systems 10 (4), 1826-1834, 2022
Epidemic dynamics of two-pathogen spreading for pairwise models
S Chen, Y Ran, H Huang, Z Wang, K Shang
Mathematics 10 (11), 1906, 2022
Peeking strategy for online news diffusion prediction via machine learning
Y Zhang, M Feng, K Shang, Y Ran, CJ Wang
Physica A: Statistical Mechanics and its Applications 598, 127357, 2022
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Artículos 1–9