7 citations · 9 across the 8 of their papers we have counts for
5 papers · 1 filter
Instilling Doubts About Truth: Measuring the Impact of Tucker Carlson's Interview with Vladimir Putin Using Machine Learning and Natural Language Processing
Loni Hagen, Ly Dinh, Golfo Alexopoulos +3
On February 7, 2024, Russian President Vladimir Putin gave a two-hour interview with conservative political commentator, Tucker Carlson. This study investigated the impact of the C…
Academic collaboration on large language model studies increases overall but varies across disciplines
Lingyao Li, Ly Dinh, Songhua Hu +1
Interdisciplinary collaboration is crucial for addressing complex scientific challenges. Recent advancements in large language models (LLMs) have shown significant potential in ben…
Structural Balance in Real-World Social Networks: Incorporating Direction and Transitivity in Measuring Partial Balance
Rezvaneh Rezapour, Ly Dinh, Lan Jiang +1
Structural balance theory predicts that triads in networks gravitate towards stable configurations. The theory has been verified for undirected graphs. Since real-world networks ar…
Structural balance in signed digraphs: considering transitivity to measure balance in graphs constructed by using different link signing methods
Ly Dinh, Rezvaneh Rezapour, Lan Jiang +1
Structural balance theory assumes triads in networks to gravitate towards stable configurations. The theory has been verified for undirected graphs. Since real-world networks are o…
Multilevel Structural Evaluation of Signed Directed Social Networks based on Balance Theory
Samin Aref, Ly Dinh, Rezvaneh Rezapour +1
Balance theory explains the forces behind the structure of social systems, which are commonly modeled as static undirected signed networks. We expand this modeling approach to inco…