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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Newest papers, page 4
Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports
Evaluation for automatic crisis reporting should measure what practitioners need, not what is convenient to compare.A temporal graph dissimilarity measure capturing epidemic spreading behavior
Comparing temporal networks is a challenging problem in network analysis.From Caricature to Collective Artifact: How Persona Construction Drives Polarization in Generative Social Simulations
Generative Social Simulation (GSS) leverages Large Language Models (LLMs) to create sophisticated personas that define agents with demographics, emotions, and political opinions.The Effect of Expertise Signaling when Sharing Medical Information in Opinion Dynamics
Social media heavily influences health decisions, yet few opinion dynamics models account for how information is delivered.Is the Platform Part of the Measurement? A Protocol and Simulation Study for Cross-Platform Equivalence of Machine-Labelled Policy Sentiment
Comparing machine-labelled sentiment across social media platforms is now routine: differences in classifier scores between platforms are read as differences in public opinion.Friends as Sensors: High-Sensitivity Monitoring of Misinformation and Platform Dynamics via the Friendship Paradox
The friends of a randomly chosen social media user are, on average, better connected than the user, a network property known as the friendship paradox.Tracing Money Flows in the Multi-Token Cryptocurrency Network
Tracing money flows in cryptocurrency transaction networks is challenging because funds can move across accounts, transactions, and token layers.Predicting Mental Health Help-Seeking Behaviour on Reddit: A Survival Analysis of Linguistic and Behavioural Signals
Most prior work on predicting mental health help-seeking treats it as post-hoc classification of users already active in clinical communities, which cannot tell whether someone approaching a…Fact-check? True!: Tracking Verification Requests and the Absence of Truth Verdicts across Correction Systems
Misperceptions can run in two directions.Masked Diffusion for Travel Diaries Synthesis
Because household travel surveys combine household characteristics, variable-length person rosters, vehicle rosters, and trip chains, existing synthesis pipelines split them across separate models…Popularity Trajectories and Mixing Patterns of Urban Venues in Two European Cities
Urban venues such as restaurants, shops, bars and parks host the daily life of a city, and their collective rise and fall signals how vibrant a neighbourhood is.PsyMemBehav: Psychology-Informed and Memory-Grounded Two-Level Identity-to-Action Reasoning for Social-Media Behavior Simulation
Large language models (LLMs) support social simulation, but faithfully reproducing real users requires grounding both structured platform decisions and language in sparse, noisy behavioral evidence.What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)
Generative search engines such as ChatGPT, Gemini and Perplexity now decide which Web pages users see as sources, and a growing industry of generative engine optimization advises publishers on how…BenCoDiC: A Large-Scale Contextual Cyberbullying Corpus for Bengali Political News Discourse FULL VERSION
Cyberbullying is a growing concern in online communities, yet existing Bengali corpora remain limited in contextual information, annotation transparency, scale, accessibility, and support for…Les Misérables Dialogue: A film-based network representation of social communication
In this work, we revisit the classic Les Misérables benchmark network from the perspective of social communication.Extracting Illicit-Rich Subgraph from Transaction Networks via Feed-Guided Shortest Paths
We study investigative subgraph extraction for Anti-Money Laundering (AML) transaction graphs using the Shortest Paths Network Search Algorithm (SPNSA), which aggregates shortest paths among a small…Skill Constellations: Tracing the Supply Chain of Agent Skills on GitHub
Agent skills are SKILL.md instructions and scripts that AI coding agents such as Claude Code and Codex run with the permissions of their user.Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering
Graph clustering is a fundamental task in data analysis, aiming at grouping nodes with similar characteristics in the graph into clusters.Large Language Model Turnover Undermines Screening for Artificial Intelligence-Assisted Scientific Writing
Journals and conferences have begun to screen submitted manuscripts for text written using large language models (LLMs).Political polarization and mental wellbeing: asymmetric evidence for bidirectionality
A growing body of evidence suggests that political polarization and mental health and wellbeing influence each other.