679 citations · 1.2k across the 17 of their papers we have counts for
18 papers
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…
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy
Jiehui Zhou, Xumeng Wang, Jason K. Wong +8
Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior…
Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions
Shuo Yu, Feng Xia, Yuchen Sun +3
In the age of social computing, finding interesting network patterns or motifs is significant and critical for various areas such as decision intelligence, intrusion detection, med…
Detecting climate teleconnections with Granger causality
Filipi N Silva, Didier A. Vega-Oliveros, Xiaoran Yan +5
Climate system teleconnections are crucial for improving climate predictability, but difficult to quantify. Standard approaches to identify teleconnections are often based on corre…
Efficient network navigation with partial information
Xiaoran Yan, Olaf Sporns, Andrea Avena-Koenigsberger
We propose a information theoretical framework to capture transition and information costs of network navigation models. Based on the minimum description length principle and the M…
The impact of air transport availability on research collaboration: A case study of four universities
Adam Ploszaj, Xiaoran Yan, Katy Borner
This paper analyzes the impact of air transport connectivity and accessibility on scientific collaboration.
Weight Thresholding on Complex Networks
Xiaoran Yan, Lucas G. S. Jeub, Alessandro Flammini +2
Weight thresholding is a simple technique that aims at reducing the number of edges in weighted networks that are otherwise too dense for the application of standard graph theoreti…
A spectrum of routing strategies for brain networks
Andrea Avena-Koenigsberger, Xiaoran Yan, Artemy Kolchinsky +3
Communication of signals among nodes in a complex network poses fundamental problems of efficiency and cost. Routing of messages along shortest paths requires global information ab…
Graph Filters and the Z-Laplacian
Xiaoran Yan, Brian M. Sadler, Robert J. Drost +2
In network science, the interplay between dynamical processes and the underlying topologies of complex systems has led to a diverse family of models with different interpretations.…
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…
Bayesian Model Selection of Stochastic Block Models
Xiaoran Yan
A central problem in analyzing networks is partitioning them into modules or communities. One of the best tools for this is the stochastic block model, which clusters vertices into…
The Majority Illusion in Social Networks
Kristina Lerman, Xiaoran Yan, Xin-Zeng Wu
Social behaviors are often contagious, spreading through a population as individuals imitate the decisions and choices of others. A variety of global phenomena, from innovation ado…
Structural Properties of Ego Networks
Sidharth Gupta, Xiaoran Yan, Kristina Lerman
The structure of real-world social networks in large part determines the evolution of social phenomena, including opinion formation, diffusion of information and influence, and the…
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…
Scalable Text and Link Analysis with Mixed-Topic Link Models
Yaojia Zhu, Xiaoran Yan, Lise Getoor +1
Many data sets contain rich information about objects, as well as pairwise relations between them. For instance, in networks of websites, scientific papers, and other documents, ea…
Model Selection for Degree-corrected Block Models
Xiaoran Yan, Cosma Rohilla Shalizi, Jacob E. Jensen +5
The proliferation of models for networks raises challenging problems of model selection: the data are sparse and globally dependent, and models are typically high-dimensional and h…
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…
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…