270 citations · 343 across the 9 of their papers we have counts for
9 papers
Emergence of Structural Disparities in the Web of Scientific Citations
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1
Scientific attention is unevenly distributed, creating inequities in recognition and distorting access to opportunities. Using citations as a proxy, we quantify disparities in atte…
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…
Can you Trust the Trend: Discovering Simpson's Paradoxes in Social Data
Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman
We investigate how Simpson's paradox affects analysis of trends in social data. According to the paradox, the trends observed in data that has been aggregated over an entire popula…
Dynamics of Content Quality in Collaborative Knowledge Production
Emilio Ferrara, Nazanin Alipourfard, Keith Burghardt +2
We explore the dynamics of user performance in collaborative knowledge production by studying the quality of answers to questions posted on Stack Exchange. We propose four indicato…