77 citations · 297 across the 9 of their papers we have counts for
9 papers
Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation
Joseph Schlessinger, Richard Bennet, Jacob Coakwell +2
This study quantifies influence between media outlets by applying a novel methodology that uses causal effect estimation on networks and transformer language models. We demonstrate…
Automatic Detection of Influential Actors in Disinformation Networks
Steven T. Smith, Edward K. Kao, Erika D. Mackin +3
The weaponization of digital communications and social media to conduct disinformation campaigns at immense scale, speed, and reach presents new challenges to identify and counter…
GraphChallenge.org Triangle Counting Performance
Siddharth Samsi, Jeremy Kepner, Vijay Gadepally +9
The rise of graph analytic systems has created a need for new ways to measure and compare the capabilities of graph processing systems. The MIT/Amazon/IEEE Graph Challenge has been…
GraphChallenge.org: Raising the Bar on Graph Analytic Performance
Siddharth Samsi, Vijay Gadepally, Michael Hurley +9
The rise of graph analytic systems has created a need for new ways to measure and compare the capabilities of graph processing systems. The MIT/Amazon/IEEE Graph Challenge has been…
Influence Estimation on Social Media Networks Using Causal Inference
Steven T. Smith, Edward K. Kao, Danelle C. Shah +2
Estimating influence on social media networks is an important practical and theoretical problem, especially because this new medium is widely exploited as a platform for disinforma…
Streaming Graph Challenge: Stochastic Block Partition
Edward Kao, Vijay Gadepally, Michael Hurley +9
An important objective for analyzing real-world graphs is to achieve scalable performance on large, streaming graphs. A challenging and relevant example is the graph partition prob…