2 papers
stat.ME2025
L-2 Regularized maximum likelihood for -model in large and sparse networks
Meijia Shao, Yu Zhang, Qiuping Wang +3
The -model is a powerful tool for modeling large and sparse networks driven by degree heterogeneity, where many network models become infeasible due to computational challenge…
stat.ME2024
A two-way heterogeneity model for dynamic networks
Binyan Jiang, Chenlei Leng, Ting Yan +2
Dynamic network data analysis requires joint modelling individual snapshots and time dynamics. This paper proposes a new two-way heterogeneity model towards this goal. The new mode…