154 citations · 179 across the 5 of their papers we have counts for
10 papers
Latent space models for multiplex networks with shared structure
Peter W. MacDonald, Elizaveta Levina, Ji Zhu
Latent space models are frequently used for modeling single-layer networks and include many popular special cases, such as the stochastic block model and the random dot product gra…
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang, Jingfei Zhang, Binghui Liu +2
The stochastic block model is one of the most studied network models for community detection. It is well-known that most algorithms proposed for fitting the stochastic block model…
Community models for networks observed through edge nominations
Tianxi Li, Elizaveta Levina, Ji Zhu
Communities are a common and widely studied structure in networks, typically under the assumption that the network is fully and correctly observed. In practice, network data are of…
High-dimensional Gaussian graphical model for network-linked data
Tianxi Li, Cheng Qian, Elizaveta Levina +1
Graphical models are commonly used to represent conditional dependence relationships between variables. There are multiple methods available for exploring them from high-dimensiona…
Link prediction for egocentrically sampled networks
Yun-Jhong Wu, Elizaveta Levina, Ji Zhu
Link prediction in networks is typically accomplished by estimating or ranking the probabilities of edges for all pairs of nodes. In practice, especially for social networks, the d…
Generalized linear models with low rank effects for network data
Yun-Jhong Wu, Elizaveta Levina, Ji Zhu
Networks are a useful representation for data on connections between units of interests, but the observed connections are often noisy and/or include missing values. One common appr…