The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis

Hiding in Plain Sight: Finding MAHA on Reddit

Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection

MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling

Algorithmic Cultivation: How Social Media Feeds Shape User Language

Universal Dynamics of Punctuated Progress

AI-Mediated Communication Can Steer Collective Opinion

CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity

Explainable Detection of Depression Status Shifts from User Digital Traces

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation

ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles

Humanwashing -- It Should Leave You Feeling Dirty

When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue

Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks

Predicting Channel Closures in the Lightning Network with Machine Learning

Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection

Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence

When Can Digital Personas Reliably Approximate Human Survey Findings?

RAwR: Role-Aware Rewiring via Approximate Equitable Partition

GravityGraphSAGE: Link Prediction in Directed Attributed Graphs

Structure-Centric Graph Foundation Model via Geometric Bases

Attention-based graph neural networks: a survey

When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge

Scalable inference of spatial regions and temporal signatures from time series

Can LLMs Emulate Human Belief Dynamics?

Predicting Post Virality with Temporal Cross-Attention over Trend Signals

H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems

Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks

Topological Neural Tangent Kernel

Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment

Aitchison Embeddings for Learning Compositional Graph Representations

Social Bias in LLM-Generated Code: Benchmark and Mitigation

Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text

Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs

Emotion-Aware Clickbait Attack in Social Media

DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale

Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface

Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers

Misinformation Span Detection in Videos via Audio Transcripts

The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks

AI-Gram: When Visual Agents Interact in a Social Network

XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data

When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest

The Triadic Loop: A Framework for Negotiating Alignment in AI Co-hosted Livestreaming

Optimal Exploration of New Products under Assortment Decisions

Spectral Analysis of Fake News Propagation

Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation

Graph self-supervised learning based on frequency corruption

The Moltbook Observatory Archive: an incremental dataset of agent-only social network activity

Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers

The Impact of AI-Generated Text on the Internet

Network Effects and Agreement Drift in LLM Debates

Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis

PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits

Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks

Structural Diversity Drives Disruptive Scientific Innovation

SP-GCRL: Influence Maximization on Incomplete Social Graphs

Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents

Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users

Measuring the Semantic Structure and Evolution of Conspiracy Theories

Inference Headroom Ratio: A Diagnostic and Control Framework for Inference Stability Under Constraint

Counting Without Numbers and Finding Without Words

WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection

When Annotators Agree but Labels Disagree: The Projection Problem in Stance Detection

Representing Higher-Order Networks: A Survey of Graph-Based Frameworks

XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception

Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis

Form Without Function: Agent Social Behavior in the Moltbook Network

Hijacking online reviews: sparse manipulation and behavioral buffering in popularity-biased rating systems

Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder

Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem

Geodesic Semantic Search: Cartographic Navigation of Citation Graphs with Learned Local Riemannian Maps

PACIFIER: Pacing Opinion Depolarization via a Unified Graph Learning Framework

AI Agents Alone Are Not (Yet) Sufficient for Social Simulation

Emergent Social Structures in Autonomous AI Agent Networks: A Metadata Analysis of 626 Agents on the Pilot Protocol

What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews

Social Story Frames: Contextual Reasoning about Narrative Intent and Reception

Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation

Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging

Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction

VERA-MH Concept Paper

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation

Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection

Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims

Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media

LLM Agents Are the Antidote to Walled Gardens

Fast Geometric Embedding for Node Influence Maximization

GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering

Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs

Human-AI Governance (HAIG): A Trust-Utility Approach

Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction

Leveraging graph neural networks and mobility data for COVID-19 forecasting

Opinion de-polarization in social networks with GNNs

Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

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