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 8
Inferring the microscopic mechanisms of opinion dynamics using a kinetic Ising model
Kinetic Ising models are widely used to describe binary opinion dynamics, but their microscopic validity has rarely been tested empirically.Open Platform Field Experiments: Expanding the Design Space of Experimental Research on Social Media
Despite a growing demand for causal evidence about social media, independent researchers remain severely constrained in their ability to conduct experiments directly on online platforms.Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packs
Communication is made possible by common ground---the unspoken knowledge that people share and presuppose of one another, whether that be online or offline.When Does the Public Become Suspicious of Bots? Demand-Side Evidence from Botometer Query Logs
We study private bot-checking behavior from the demand side: when people suspect an account is automated, whom they suspect, and what follows.Unifying Models of Intergroup Hostility in Online Discourse
Hostile rhetoric toward social groups can normalize exclusion and justify mistreatment, as well as contribute to rising polarization and political violence.Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation
Graph neural networks are widely used for transductive node classification, with accuracy typically measured on randomly drawn train/validation/test splits.The Evolution of Coordination in a Collective Intelligence System: 25 Years of English Wikipedia and the Emergence of Generative AI
English Wikipedia is one of the largest examples of collective intelligence on the Web, sustained not only by article production but also by volunteer coordination and governance.Intervention problems in the Linear Threshold Model: A general formulation and new results
We study an optimal intervention problem for linear threshold models.PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
Online mental health communities thrive on peer support, yet those who volunteer to help often lack formal training and may struggle to articulate supportive responses.ProLiVis 2.0: Literature-Centric Visualization of Protein--Protein Interaction Networks, with a Citation-Trust Model for Interaction Evidence
Protein-protein interaction databases record evidence without weighing it.The CAST-framework: Measure and model social media use as a multi-level phenomenon through real-world applications
Designing social media experiences that support well-being requires understanding when, how, and for whom use matters.Predicting Social Media Engagement using Machine Learning
Social media platforms are popular channels for disseminating information, owing to their large user bases and ease of access.netseg: a Python Package for Measuring Structural Polarization and Segregation in Social Networks
The study of structural polarization and segregation in social networks is an established line of research, and the quantification of both phenomena proceeds through a set of widely cited network…On the Expressive Power of Implicit Line-Graph Higher-Order Weisfeiler--Leman
Whitney's theorem allows isomorphism testing for connected simple graphs, apart from $K_3$ and $K_{1,3}$, to be formulated as distinguishing their line graphs.Enhancing Human Mobility Prediction with Spatially Aware LLM-based Multi-Agent Systems
Predicting a user's next POI is a task in human mobility modeling, yet LLM-based approaches focus on semantic reasoning from previous mobility records, while neglecting real-world spatial context.Document Topic Alignment Metrics for Evaluating Topic Models of Short-Text Public Health Communications on Social Media
Topic models are widely used to analyze public health-related social media short texts, yet their evaluation remains dominated by metrics that focus entirely on generated topics alone.Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion
The studying of opinion dynamics and its propagation within social networks is crucial for addressing a wide range of challenges, including political polarization, public health, and marketing…Not All Duplicates Are Coordination: Generic vs. Non-Generic Duplicate Campaigns in Information Operations
Duplicate content is widely used to study coordinated behavior in social media information operations (IOs), but not all repetition provides equally meaningful evidence of coordination.Graph Neural Networks for Influence Maximization in Social Networks: An Unsupervised Minimum Dominating Set Approach
The Minimum Dominating Set (MDS) problem is a classic NP-hard combinatorial optimization problem with critical applications in social network analysis, including viral marketing, influence…From Network Inequality to Network Fairness: A Perspective on Responsible Decision-Making
Social networks shape how individuals make decisions and how opportunities are distributed.