Mapping the Russian Internet Troll Network on Twitter using a Predictive Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dassanayaka, Sachith, Swed, Ori, Volchenkov, Dimitri
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Keeping it Authentic: The Social Footprint of the Trolls Network
by: Swed, Ori, et al.
Published: (2024)

Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
by: Gopalakrishnan, Atul Anand, et al.
Published: (2025)

Analyzing Trendy Twitter Hashtags in the 2022 French Election
by: Mandviwalla, Aamir, et al.
Published: (2023)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)

On Early-stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners
by: Nguyen, Tu, et al.
Published: (2017)

A Comprehensive Low and High-level Feature Analysis for Early Rumor Detection on Twitter
by: Nguyen, Tu
Published: (2017)

Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter
by: Salamanos, Nikos, et al.
Published: (2020)

BicliqueEncoder: An Efficient Method for Link Prediction in Bipartite Networks using Formal Concept Analysis and Transformer Encoder
by: Yang, Hongyuan, et al.
Published: (2025)

COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
by: Bishal, Mahathir Mohammad, et al.
Published: (2024)

Manufacturing Service Capability Prediction with Graph Neural Networks
by: Li, Yunqing, et al.
Published: (2024)

Predicting Channel Closures in the Lightning Network with Machine Learning
by: Antonelli, Simone, et al.
Published: (2026)

Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
by: Pran, Rakib Hassan
Published: (2021)

Link Prediction with Physics-Inspired Graph Neural Networks
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)

Predicting Cascading Failures with a Hyperparametric Diffusion Model
by: Xiang, Bin, et al.
Published: (2024)

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model
by: Hossain, Ismail, et al.
Published: (2024)

From Twitter to Reasoner: Understand Mobility Travel Modes and Sentiment Using Large Language Models
by: Ruan, Kangrui, et al.
Published: (2024)

Israel-Hamas war through Telegram, Reddit and Twitter
by: Antonakaki, Despoina, et al.
Published: (2025)

Statistical Guarantees for Link Prediction using Graph Neural Networks
by: Chung, Alan, et al.
Published: (2024)

Estimating Network Models using Neural Networks
by: Mele, Angelo
Published: (2025)

Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
by: Liu, Junhua, et al.
Published: (2024)

An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic
by: Perez, Christopher, et al.
Published: (2022)

RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
by: Sun, Li, et al.
Published: (2024)

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
by: Heeg, Franziska, et al.
Published: (2023)

H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction
by: Gu, Zhexi, et al.
Published: (2026)

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
by: Wang, Zixiao, et al.
Published: (2022)

Interactive Event Sifting using Bayesian Graph Neural Networks
by: Nascimento, José, et al.
Published: (2024)

Transferability of Graph Neural Networks using Graphon and Sampling Theories
by: Neuman, A. Martina, et al.
Published: (2023)

Statistical Analysis of Risk Assessment Factors and Metrics to Evaluate Radicalisation in Twitter
by: Lara-Cabrera, Raul, et al.
Published: (2025)

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
by: Khanna, Samarth, et al.
Published: (2024)

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
by: Perez, Mathilde, et al.
Published: (2026)

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
by: Gholinejad, Nemat, et al.
Published: (2024)

A Community-Enhanced Graph Representation Model for Link Prediction
by: Wang, Lei, et al.
Published: (2025)

Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks
by: Srivastava, Ajitesh, et al.
Published: (2025)

CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks
by: Zhu, Hongjun, et al.
Published: (2023)

Non-Euclidean Mixture Model for Social Network Embedding
by: Iyer, Roshni G., et al.
Published: (2024)

A City of Millions: Mapping Literary Social Networks At Scale
by: Hamilton, Sil, et al.
Published: (2025)

LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
by: Deshpande, Vijeta, et al.
Published: (2024)

Network Contagion in Financial Labor Markets: Predicting Turnover in Hong Kong
by: AlKetbi, Abdulla, et al.
Published: (2025)

Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing
by: Kobara, Seibi, et al.
Published: (2024)