activity
20102023
most citedThe Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality

26 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023

An Improved Christofides Mechanism for Local Differential Privacy Framework

She Sun, Li Zhou, Xiaoran Yan

The development of Internet technology enables an analysis on the whole population rather than a certain number of samples, and leads to increasing requirement for privacy protecti…

cs.SI20162 cited

Network Composition from Multi-layer Data

Kristina Lerman, Shang-Hua Teng, Xiaoran Yan

It is common for people to access multiple social networks, for example, using phone, email, and social media. Together, the multi-layer social interactions form a "integrated soci…

cs.SI201426 cited

The Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality

Rumi Ghosh, Kristina Lerman, Shang-Hua Teng +1

We study the interplay between a dynamic process and the structure of the network on which it is defined. Specifically, we examine the impact of this interaction on the quality-mea…

cs.SI201210 cited

Oriented and Degree-generated Block Models: Generating and Inferring Communities with Inhomogeneous Degree Distributions

Yaojia Zhu, Xiaoran Yan, Cristopher Moore

The stochastic block model is a powerful tool for inferring community structure from network topology. However, it predicts a Poisson degree distribution within each community, whi…

stat.ML20104 cited

Active Learning for Hidden Attributes in Networks

Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier +1

In many networks, vertices have hidden attributes, or types, that are correlated with the networks topology. If the topology is known but these attributes are not, and if learning…