23 citations · 49 across the 36 of their papers we have counts for
8 papers · 1 filter
Efficient Topic Model Estimation under Heavy-Tailed Document Lengths
Daniel Cirkovic, Tiandong Wang
Early inquiries into the statistical properties of natural language found that words tend to occur with power-law frequencies. This observation, closely associated with Zipf's law,…
Spatial Dependence in Directed Preferential-Attachment Networks
Zihan Li, Tiandong Wang
Spatially embedded directed networks, such as airline networks, often exhibit simultaneous high activity at nearby nodes. Preferential attachment (PA) explains hub dominance. We ex…
A Multilayer Probit Network Model for Community Detection with Dependent Edges and Layers
Dapeng Shi, Haoran Zhang, Tiandong Wang +1
Community detection in multilayer networks, which aims to identify groups of nodes exhibiting similar connectivity patterns across multiple network layers, has attracted considerab…
Multilayer Network Regression with Eigenvector Centrality and Community Structure
Zhuoye Han, Tiandong Wang, Zhiliang Ying
In the analysis of complex networks, centrality measures and community structures play pivotal roles. For multilayer networks, a critical challenge lies in effectively integrating…
Likelihood-based Inference for Random Networks with Changepoints
Daniel Cirkovic, Tiandong Wang, Xianyang Zhang
Generative, temporal network models play an important role in analyzing the dependence structure and evolution patterns of complex networks. Due to the complicated nature of real n…
EVIboost for the Estimation of Extreme Value Index under Heterogeneous Extremes
Jiaxi Wang, Yanxi Hou, Xingchi Li +1
Modeling heterogeneity on heavy-tailed distributions under a regression framework is challenging, and classical statistical methodologies usually place conditions on the distributi…
Are Extreme Value Estimation Methods Useful for Network Data?
Phyllis Wan, Tiandong Wang, Richard A. Davis +1
Preferential attachment is an appealing edge generating mechanism for modeling social networks. It provides both an intuitive description of network growth and an explanation for t…
Fitting the Linear Preferential Attachment Model
Phyllis Wan, Tiandong Wang, Richard A. Davis +1
Preferential attachment is an appealing mechanism for modeling power-law behavior of the degree distributions in directed social networks. In this paper, we consider methods for fi…