Weighted directed networks with a differentially private bi-degree sequence
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Publication:5079231
DOI10.1080/03610926.2020.1747630OpenAlexW3016188580MaRDI QIDQ5079231
Qian Wang, Yang Ouyang, Jing Luo, Qiuping Wang, Xiao Zhang
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.11373
Cites Work
- Unnamed Item
- Directed weighted random graphs with an increasing bi-degree sequence
- Random graphs with a given degree sequence
- Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\)
- Estimating and understanding exponential random graph models
- From the Cover: The structure of scientific collaboration networks
- Markov Graphs
- An Exponential Family of Probability Distributions for Directed Graphs
- Stochastic Blockmodels for Directed Graphs
- Analyzing Graphs with Node Differential Privacy
- Directed Networks with a Differentially Private Bi-degree Sequence
- Asymptotics in theβ-model for networks with a differentially private degree sequence
- A central limit theorem in the -model for undirected random graphs with a diverging number of vertices
- Theory of Cryptography
- Asymptotics in directed exponential random graph models with an increasing bi-degree sequence
- Inference using noisy degrees: differentially private \(\beta\)-model and synthetic graphs
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