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 5
A Gauge-Invariant Clustering Coefficient for Complex-Weighted Bipartite Networks
Structural measures such as the clustering coefficient and the average shortest-path length characterise how a network is organised.Credit Attribution in Timestamped Soccer Networks Using Multivariate Hawkes Processes
The two main traditional player statistics used in soccer are goals scored and assists, with an assist credited when a player's pass immediately leads to a teammate scoring.CrossWeave: Bridging Perspectives Across Online Communities with a Dual-Pane Design
Social media systems typically display conversations among already familiar contributors, which can be predictable and one-sided.Disentangling Models from Personas in Heterogeneous LLM Simulations
Multi-agent simulations with large language models (LLMs) often operate networks of agents with a single base model.Benchmarking System One Models in Online Moderation
Online moderation systems must apply changing platform policies, community rules, and prior decisions while producing decisions that can be audited and routed to human review.Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning
Higher-order models (e.g., hypergraph neural networks) often outperform lower-order baselines on hypergraph learning benchmarks, and their advantages are commonly attributed to their ability to…Network Intervention by Polling Strategic Agents
A planner in a network of strategic agents faces three entangled challenges: the optimum depends on agents' private information, queried agents may misreport to steer the outcome, and exact…Graph Data Augmentation via Contrastive Generator Inversion ($\texttt{DCBA}$)
Graphs provide a natural representation of many complex systems, ranging from social platforms to ecosystems.FairProp: Fair Node Representation Learning via Differentiable Propagation Layers
Graph neural networks (GNNs) are the standard tool for node representation learning and are increasingly used in high-stakes settings.Learning to Simulate Individuals from Macro Social Signals
Large language models are increasingly used to simulate how individuals respond to new situations, yet the behavioral reasoning behind these responses is either inherited from pretraining or learned…WPTokens: A Dataset for Studying the Regulation of Wikipedia
Studying how Wikipedia is regulated requires knowing who adds, rewrites, moves and deletes which piece of content, when and where.Aggregating User Preferences while Ensuring Equity, Diversity, and Inclusion using Graph Summarization
Aggregating the preferences of diverse user groups into a collective outcome raises fundamental challenges of equity, diversity, and inclusion (EDI): classical aggregation rules such as Borda and…Responsible Institutional Analytics: Interpreting Bias with AI Support
Institutional Analytics (IA) dashboards inform decision-making in higher education, yet data limitations, constraints in analytical techniques, and missing contextual information often affect their…Forecasting the Growth of Social Media Information Cascades: Towards Human-in-the-Loop Misinformation Triage
Limited review teams must identify which emerging claims are likely to keep growing before their eventual reach is known.Simulating Strategies for Defense Against Brand-Targeted Online Disinformation
Brand-targeted disinformation can damage firms not only by spreading false beliefs, but by eroding trust, amplifying reputational uncertainty, and persisting across networked digital environments.Interpretable Hypergraph Learning via Neural Additive Models
Hypergraphs offer a natural framework for modeling networked data, where dependencies among entities are governed by higher-order interactions.Your Temporal Link Predictor Is Blind to Who Is Active: A Missing Factor That Transfers Across Models
An interaction has two parts: someone decides to act, and then chooses whom to act on.Inductive Claims Extraction at Scale
A large part of political discourse on social media is built and expressed at a level of claims: i.e. declarative, typically single-clause statements, which convey a particular interpretation of…Emoji-Emotion Ranking System Using Twitter Data
Nowadays, emojis are often replacing words.When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning
Multi-agent debate can improve reasoning, yet often fails to beat simple majority voting.