1 citations · 1 across the 5 of their papers we have counts for
5 papers
Synthetic Social Media Influence Experimentation via an Agentic Reinforcement Learning Large Language Model Bot
Bailu Jin, Weisi Guo
Understanding the dynamics of public opinion evolution on online social platforms is crucial for understanding influence mechanisms and the provenance of information. Traditional i…
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
Mengbang Zou, Weisi Guo, Bailu Jin
Strong structural controllability (SSC) guarantees networked system with linear-invariant dynamics controllable for all numerical realizations of parameters. Current research has e…
How to Find Opinion Leader on the Online Social Network?
Bailu Jin, Mengbang Zou, Zhuangkun Wei +1
Online social networks (OSNs) provide a platform for individuals to share information, exchange ideas, and build social connections beyond in-person interactions. For a specific to…
Data Driven Modeling Social Media Influence using Differential Equations
Bailu Jin, Weisi Guo
Individuals modify their opinions towards a topic based on their social interactions. Opinion evolution models conceptualize the change of opinion as a uni-dimensional continuum, a…
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process
Schyler C. Sun, Bailu Jin, Zhuangkun Wei +1
The causal mechanism between climate and political violence is fraught with complex mechanisms. Current quantitative causal models rely on one or more assumptions: (1) the climate…