Social, Cultural, and Behavioral Modeling

19th International Conference, SBP-BRiMS 2026, Pittsburgh, PA, USA, October 12–14, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-40580-7
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

This book contains the proceedings of the 19th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2026, which took place in Pittsburgh, PA, USA, during October 12–14, 2026.

The 24 papers presented in this volume were carefully reviewed and selected from 54 submissions. They are divided into the following themes: Modeling Agents and Behaviors; Large Language Models and Network Modeling; Social Media, Narratives, and Identity.

Zielgruppe

Research

Autoren/Hrsg.

Thomson, Robert

Mortimore, David

Agarwal, Nitin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften

Inhaltsverzeichnis

.- Modeling Agents and Behaviors.
.- An Agent-Based Model of Recidivism.
.- Minimal Agents Can Generate and Self-Regulate Novel Social Behaviors Using Just Reinforcement Learning.
.- Visual Attention is Not Memoryless: Higher-Order Sequence Modeling of Teamlead Gaze in VR Cardiac Arrest Simulation.
.- From Detection to Frontline Decision Support: A Configurable AI Framework for Anti-Trafficking Triage and Resource Allocation.
.- Information Effect Scalability with a Cognitive Architecture and Agent-based Modeling.
.- Support for AI Development: Automated Daily Measurement with Open Data and Code.
.- Characterizing Behavioral Deviation in Endpoint Telemetry via ATT&CK Transitions.
.- Interpretable Archetype Discovery for Mixed-Type Survey Modeling.
.- Large Language Models and Network Modeling.
.- RegionalOpinionQA: Benchmarking Distributional Prediction of Large Language Models to Subnational Public Opinion.
.- Generalizing Firmware Vulnerabilities from Sequential Expert Decisions Using Smith-Waterman Alignment.
.- Quantum Machine Learning for Conflict Fatality and Romantic Relationship Prediction: Entangled with Promise, Measured in Practice.
.- Dimensionality Assessment in Small Samples: Comparing EGA and EFA.
.- What LLMs Understand about Dynamic Networks.
.- Network-Based Defense Optimization Against Ransomware Campaigns.
.- Network-Based Cost-Aware Optimization of Ransomware Mitigation Strategies.
.- Interaction Diversity in News Ecosystems: Accounting for Organizational Structure and Ownership.
.- Social Media, Narratives, and Identity.
.- User-Reported Misinformation Exposure Across Social Media Platforms.
.- Self-Disclosed Substance Use During Pregnancy on Reddit (2020-2022): LLM-Assisted Identification of Cases, Substances, and Barriers to Care.
.- Built-Environment Predictors of Street-Segment Pedestrian Activity in New York City, NY, USA.
.- Symbols of Dissent: How Visual Symbolism Shapes Engagement and Emotions in Nepal’s 2025 Anti-Corruption Movement.
.- Role of Symbolic Configurations in Competing Narrative Diffusion on YouTube During the 2025 Indonesia Protests
.- Campaign-Level Behavioral Archetypes Transfer Across Political Campaigns.
.- An Assessment of Identity Complexity in Social Media Bios.
.- From LLM-Assisted Dialogue Identification to Clinical Sensemaking: A Case Study of Disaster-Preparedness Discourse in Type 1 Diabetes Subreddits.