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20182026
most citedDynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives

48 citations · 50 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.SI2026

Learning dynamics from online-offline systems of LLM agents

Moyi Tian, George Mohler, P. Jeffrey Brantingham +1

Online information is increasingly linked to real-world instability, especially as automated accounts and LLM-based agents help spread and amplify news. In this work, we study how…

cs.SI2021

An Analysis of COVID-19 Knowledge Graph Construction and Applications

Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang +5

The construction and application of knowledge graphs have seen a rapid increase across many disciplines in recent years. Additionally, the problem of uncovering relationships betwe…

cs.SI2021

Mapping Moral Valence of Tweets Following the Killing of George Floyd

J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh +4

The viral video documenting the killing of George Floyd by Minneapolis police officer Derek Chauvin inspired nation-wide protests that brought national attention to widespread raci…

cs.SI202048 cited

Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives

Hao Sha, Mohammad Al Hasan, George Mohler +1

A combination of federal and state-level decision making has shaped the response to COVID-19 in the United States. In this paper we analyze the Twitter narratives around this decis…

cs.SI2018

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction

Baichuan Yuan, Hao Li, Andrea L. Bertozzi +2

There is often latent network structure in spatial and temporal data and the tools of network analysis can yield fascinating insights into such data. In this paper, we develop a no…