4 citations · 6 across the 2 of their papers we have counts for
7 papers
Diffusion Source Identification on Networks with Statistical Confidence
Quinlan Dawkins, Tianxi Li, Haifeng Xu
Diffusion source identification on networks is a problem of fundamental importance in a broad class of applications, including rumor controlling and virus identification. Though th…
Network Estimation by Mixing: Adaptivity and More
Tianxi Li, Can M. Le
Networks analysis has been commonly used to study the interactions between units of complex systems. One problem of particular interest is learning the network's underlying connect…
Informative core identification in complex networks
Ruizhong Miao, Tianxi Li
In network analysis, the core structure of modeling interest is usually hidden in a larger network in which most structures are not informative. The noise and bias introduced by th…
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…
Hierarchical community detection by recursive partitioning
Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya +4
The problem of community detection in networks is usually formulated as finding a single partition of the network into some "correct" number of communities. We argue that it is mor…