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20172026
most citedPageRank centrality and algorithms for weighted, directed networks with applications to World Input-Output Tables

5 citations · 13 across the 19 of their papers we have counts for

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8 papers · 1 filter

math.ST2026

Pooling Mobility Obscures Epidemic Invasion Routes

Tiandong Wang, Wei Yang

Epidemic models often pool air travel, commuting, and other mobility layers into a single weighted network. Pooling keeps the total imported infections into a region but discards t…

math.ST2026

Hub Neighbor-Degree Diagnostics for Sparse Random Graphs

Qian Hui, Tiandong Wang

Networks with nearly identical degree distributions can place their hubs in sharply different neighborhoods. We develop a model diagnostic based on the mean degree of the neighbors…

math.ST2025

Structural Causal Models for Extremes: an Approach Based on Exponent Measures

Shuyang Bai, Fei Fang, Tiandong Wang

We introduce a new formulation of structural causal models for extremes, called the extremal structural causal model (eSCM). Unlike conventional structural causal models, where ran…

math.ST2025

Classification of Extremal Dependence in Financial Markets via Bootstrap Inference

Qian Hui, Sidney I. Resnick, Tiandong Wang

Accurately identifying the extremal dependence structure in multivariate heavy-tailed data is a fundamental yet challenging task, particularly in financial applications. Following…

math.ST20241 cited

On tail inference in scale-free inhomogeneous random graphs

Daniel Cirkovic, Tiandong Wang, Daren B. H. Cline

Both empirical and theoretical investigations of scale-free network models have found that large degrees in a network exert an outsized impact on its structure. However, the tools…

math.ST2023

2RV+HRV and Testing for Strong VS Full Dependence

Tiandong Wang, Sidney I. Resnick

Preferential attachment models of network growth are bivariate heavy tailed models for in- and out-degree with limit measures which either concentrate on a ray of positive slope fr…