Social, Behavioral
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Related Articles from SNS
Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents
arXiv:2606.06936v1 Announce Type: new Abstract: Social interactions are shaped by the interplay of dispositional traits and situational context, yet systematically investigating how personality configurations between individuals jointly influence social behavior across diverse social contexts remains methodologically challenging. We address this gap by introducing a simulation pipeline adapted from the CHARISMA framework, which employs well-known movie characters and public figures as...
Disaster-induced behavioral change restructures social networks toward bonding ties
Announce Type: new Abstract: Population displacement following environmental shocks reshapes the spatial organization of social interactions, often fragmenting existing ties and weakening community cohesion. Although social capital is widely recognized as a key determinant of resilience, its dynamic restructuring after disruption remains poorly quantified. Here, we develop a spatially embedded, dynamic network framework that operationalizes social capital as a network of repeated encounter...
Interpretable Crisis Behavior Analysis Using Mobility and Social Media Data
arXiv:2606.09532v1 Announce Type: new Abstract: Crises alter both how people move and how they communicate. During emergencies such as wildfires and pandemics, changes in mobility patterns and online emotional discourse evolve jointly, yet they are typically studied in isolation. This paper presents a unified and interpretable pipeline that integrates mobility and social media data to identify cross-domain behavioral patterns in crisis settings.
Social Novelty Recruits a Dysfunctional Nucleus Accumbens Ensemble That Drives Social Avoidance in a Shank3-/- Autism Model
Social behavior deficits are a common symptom of neuropsychiatric disorders, including autism spectrum disorder (ASD), but there are limited pharmacological treatments for these symptoms. Understanding how neurons encode social information will give insight into identifying novel pharmacological targets to address this unmet need. SHANK3 encodes a postsynaptic scaffold protein and is a common risk gene for several neuropsychiatric disorders characterized by social deficits, including ASD.
Your brain starts making social decisions before you do
Your brain starts making social decisions before you do - Date: - June 2, 2026 - Source: - The Hebrew University of Jerusalem - Summary: - Researchers found that social behavior begins in the brain before it becomes visible as movement. In zebrafish, a coordinated pattern of activity spread across the brain several seconds before the animals approached another fish. A higher brain region called the pallium played a key role, and fish with stronger neural signals were generally more social.
Context-dependent modulation of social space by dopamine receptors in the Drosophila melanogaster mushroom body
Social behavior takes many forms, yet the fundamental principles of social circuit function are thought to be evolutionarily conserved. Foundational behaviors that precede more complex interactions can reveal the mechanisms underlying these circuits. Social spacing, the regulation of preferred inter-individual distances, is one such behavior and can be quantified in the genetically tractable model Drosophila melanogaster.
Scientists reverse anxiety by fixing a tiny brain circuit
Scientists reverse anxiety by fixing a tiny brain circuit - Date: - June 3, 2026 - Source: - Universidad Miguel Hernandez de Elche - Summary: - A newly identified group of amygdala neurons appears to play a central role in anxiety and social behavior. Restoring normal activity in this tiny brain circuit reversed anxiety and social deficits in mice, revealing a promising new target for future treatments. - Share: Scientists have identified a specific brain circuit that appears to play a major...
Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents
arXiv:2606.08200v1 Announce Type: new Abstract: Evaluating LLM-powered interactive social agents is challenging because socially relevant behaviors depend not only on isolated outputs, but also on prior interactions, social roles, and downstream actions. Existing methods typically allow a target agent to act freely in an environment and then score the resulting trajectory. However, this passive setup can miss capabilities that only become observable under specific social circumstances; for...
AI Behavioral Science
arXiv:2509.13323v2 Announce Type: replace Abstract: We outline a foundation for a new field of ``AI Behavioral Science,'' covering three perspectives. First, as AI becomes ubiquitous and is increasingly proprietary and opaque, it becomes vital to develop techniques for assessing AI behavior. We outline how tools developed to assess people's behaviors by social scientists can be used to assess and infer AI's behaviors biases, tendencies, and heuristics.
Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
Announce Type: cross Abstract: Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understand patterns of social behavior. We study a system that couples online and offline social activity and investigate how to learn effective models directly from data using Weak Form Sparse Identification of Nonlinear Dynamics (WSINDy), a method for discovering governing equations.