270 citations · 283 across the 5 of their papers we have counts for
8 papers
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data
Nazanin Alipourfard, Keith Burghardt, Kristina Lerman
Quantitative analysis of large-scale data is often complicated by the presence of diverse subgroups, which reduce the accuracy of inferences they make on held-out data. To address…
Emergence of Structural Inequalities in Scientific Citation Networks
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1
Structural inequalities persist in society, conferring systematic advantages to some people at the expense of others, for example, by giving them substantially more influence and o…
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1
Preferential attachment, homophily and, their consequences such as the glass ceiling effect have been well-studied in the context of undirected networks. However, the lack of an in…
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor +5
Existing popular methods for semi-supervised learning with Graph Neural Networks (such as the Graph Convolutional Network) provably cannot learn a general class of neighborhood mix…
Friendship Paradox Biases Perceptions in Directed Networks
Nazanin Alipourfard, Buddhika Nettasinghe, Andres Abeliuk +2
How popular a topic or an opinion appears to be in a network can be very different from its actual popularity. For example, in an online network of a social media platform, the num…
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data
Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman
We describe a data-driven discovery method that leverages Simpson's paradox to uncover interesting patterns in behavioral data. Our method systematically disaggregates data to iden…