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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? 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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
Modeling Terrorist Networks, Complex Systems at the Mid-range
Philip Vos Fellman, Roxana Wright · 2014-05-21 · via cs.SI updates on arXiv.org

In this paper, we develop the themes presented at the 2003 Joint Complexity Conference at the London School of Economics and subsequently published in The Intelligencer (2004) and O Tempo Das Redes (2008). Following the data analysis of the 9/11 high-jacker network developed by Valdis Krebs from open sources, we apply social network theory to examine salient arguments regarding terrorism as seen from the standpoint of complex adaptive systems theory. In particular, we explore the concepts of group cohesion, adhesion and alternative network mappings derived from node removal.

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