41 citations · 66 across the 6 of their papers we have counts for
6 papers
Optimal Network Pairwise Comparison
Jiashun Jin, Zheng Tracy Ke, Shengming Luo +1
We are interested in the problem of two-sample network hypothesis testing: given two networks with the same set of nodes, we wish to test whether the underlying Bernoulli probabili…
Optimal Estimation of the Number of Communities
Jiashun Jin, Zheng Tracy Ke, Shengming Luo +1
In network analysis, how to estimate the number of communities is a fundamental problem. We consider a broad setting where we allow severe degree heterogeneity and a wide range…
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
Given a symmetric social network, we are interested in testing whether it has only one community or multiple communities. The desired tests should (a) accommodate severe degree het…
Improvements on SCORE, Especially for Weak Signals
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
A network may have weak signals and severe degree heterogeneity, and may be very sparse in one occurrence but very dense in another. SCORE (Jin, 2015) is a recent approach to netwo…
Network Global Testing by Counting Graphlets
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
Consider a large social network with possibly severe degree heterogeneity and mixed-memberships. We are interested in testing whether the network has only one community or there ar…
Mixed Membership Estimation for Social Networks
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
In economics and social science, network data are regularly observed, and a thorough understanding of the network community structure facilitates the comprehension of economic patt…