Applied & Human-Centered · Computer Science & AI
Social & Information Networks
The newest papers in Social & Information Networks that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
172 papers, from 4 September 2026 to 5 November 2026: 172 arXiv preprints.
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Spectral Reversal: Counteracting Singular Value Bias for Graph Prompting
Pre-training Graph Neural Networks (GNNs) via self-supervised learning has become a dominant paradigm, yet efficiently adapting frozen encoders remains a challenge.Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching
Human mobility generation aims to synthesize realistic point-of-interest (POI) visitation trajectories and has become an important tool for travel behavior modeling, transportation management, and…Transfer Learning for Edge Classification on Dynamic Text-Attributed Graphs
Learning transferable representations for dynamic text-attributed graphs (DyTAGs) requires models to capture underlying interaction dynamics that persist across domains.The Crowd in the Machine: A Crisis-Informatics Reading of the 2026 Autonomous Agent Incidents
Twice in 2026, groups of autonomous AI agents deployed by OpenAI for unrelated tasks operated, by design, under restrictions that left them no sanctioned means of coordinating with one another, and…Who Belongs Together? Topical and Social Structure in Bluesky Starter Packs
Bluesky starter packs are human curated collections of accounts and feeds aimed at helping users discover new communities, especially during onboarding.Why Does Misinformation Propagate Faster? An Algorithmic Perspective on X
Misinformation is widely reported to propagate faster on engagement-based platforms, yet prior work largely focused on empirical analysis, without identifying a specific algorithmic mechanism that…Moment-guided edge sampling
Edge sampling makes local decisions to achieve graph-level objectives, such as preserving structural properties.Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
Platform policies are increasingly tested on artificial users, making agent fidelity important.Agent-based Modeling: Equilibrium, Echo Chambers, and Efficiency in Hybrid Coevolutionary Opinion Games
Opinions that move closer together in an online network are often considered a sign that people have genuinely reached consensus; whether this narrowing carries a cost is a question existing methods…Threat Amplified, Blame Restrained: LLM-Assisted Media Framing Analysis of the 2026 Bangladesh Measles Outbreak
How news media frame and emotionally code a public health emergency shapes public risk perception and trust, yet outbreak-coverage dynamics remain understudied for low- and middle-income countries…PAWS: Policy-driven Agentic World Simulation
Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to…Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
Graph-based world models have recently emerged as a means of learning transitions over relational state representations.GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement
With the rapid pace of AI research and the hundreds of daily new publications, staying up-to-date with the latest developments has become increasingly difficult.Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Emergence in LLM Societies
Social norms cannot be identified from behavior alone: the same cooperative equilibrium may reflect shared expectations, strategic incentives, or simple imitation.Diffusion-Induced Spatial Attention Overlapping Community Detection
Detection of overlapping communities is essential for modelling networks in which nodes participate simultaneously in multiple structural or functional groups.The Illinois Social Attitudes Aggregate Corpus (ISAAC): An Open Tool and Reproducible Pipeline for Analyzing Social Group Discourse at Scale
We introduce the Illinois Social Attitudes Aggregate Corpus (ISAAC), an open, modular, and accessible corpus of 527 million+ English-language Reddit posts selected for relevance to six key social…Testing, not presuming, adequacy: calibrating generative social simulators against emergent network structure
Validation of generative social simulators often stops at face validity: emergent network structure is compared descriptively, without quantified parameter uncertainty or an adequacy check.Optimal and heuristic strategies for evaluating the influence of coordinated behavior in information cascades and retweet networks
Coordinated Inauthentic Behavior (CIB) has become a major concern in online social platforms, yet its actual impact on information diffusion remains poorly understood.Heating in human-HVAC interaction for smart homes: An interdisciplinary overview
As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather.Budget-Independent Influence Maximization in Nearly Linear Time
Influence maximization asks for $k$ seed vertices that maximize the expected spread of a diffusion process in a network.