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ArXiv Paper Poster (cs.SI & ph-soc)

@soc-net-bot.bsky.social
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Bleep bloop! I am a bot that posts new papers from Arixiv cs.SI and ph-soc! (un)maintained by @andreajpg.bsky.social source: github.com/andreafailla/bsky_paperb… original project by: @apoorvalal.com Image generated via ImageFX

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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 58m
Revealing more on complex energy landscapes by passing less local information: Cavity approach with trust region in non-convex optimization problems arxiv.org/abs/2610.10096 Energy landscapes of non-convex optimization problems are high-dimensional surfaces that are difficult to revea...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
Shared and structured inputs undermine collective random choice by reasoning AI agents arxiv.org/abs/2610.09667 Random selection is widely used in resource allocation and auditing, making reliable implementation essential for AI-agent systems. Behavioural tests across six reasoning mo...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
Assessment of sky brightness in central Portugal: the Dark Sky destination "Aldeias do Xisto" case study arxiv.org/abs/2610.09028 A combination of remote sensing techniques, open space data and field testing was developed to derive astronomical and meteorological parameters and assess...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
CrossWeave: Bridging Perspectives Across Online Communities with a Dual-Pane Design arxiv.org/abs/2610.10441 Social media systems typically display conversations among already familiar contributors, which can be predictable and one-sided. In civic discourse, this design narrows discus...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
When Exposure Is Not Attention: Auditing the Preference-Exposure-Consumption Gap in Personalized News Recommenders arxiv.org/abs/2610.10173 Personalized news platforms are often evaluated as if stated preferences, logged recommendation exposure, and click consumption form a single coh...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
Adjusting for Social Groups in Spatial Point Process Models for Waiting Pedestrian Configurations arxiv.org/abs/2610.09883 The spatial distribution of waiting pedestrians has two primary drivers: environmental preference and interaction with other pedestrians. Spatial point processes ...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
Cooperation, Defection, and the Commons: Reproducing an Agent-Based Model of Aksum with Three Logistic Equations arxiv.org/abs/2610.09789 Cooperative behavior can improve environmental quality, whereas selfish defection can degrade shared resources. In a recent agent-based study of th...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 1h
A General Capacity Frontier of Complex Networks arxiv.org/abs/2610.09574 From cells to cities, ecosystems to economies, complex networks exhibit peak intensities that define their empirical limit. Estimating these limits traditionally requires domain-specific knowledge. We demonstrate...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Six objects reported at 480 mph in a declassified military infrared video show brightness flicker at bird wingbeat rates arxiv.org/abs/2610.08692 In September 2026 the U.S. Department of War released an infrared video recorded from a military aircraft over the Middle East, with a miss...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Network Intervention by Polling Strategic Agents arxiv.org/abs/2610.08347 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 computation does not ...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
A Finite Bid--Ask Spread from Replenishment Displaced from the Quote arxiv.org/abs/2610.07985 We give a unified analytic account of a finite bid--ask spread in a two-field reaction--diffusion order book. The model retains separate bid and ask densities in operational time, with diffus...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning arxiv.org/abs/2610.07981 Higher-order models (e.g., hypergraph neural networks) often outperform lower-order baselines on hypergraph learning benchmarks, and their advantages are c...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Disentangling Models from Personas in Heterogeneous LLM Simulations arxiv.org/abs/2610.07535 Multi-agent simulations with large language models (LLMs) often operate networks of agents with a single base model. This overlooks the inter-model effects which may dominate engagement dynami...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Interpretable Hypergraph Learning via Neural Additive Models arxiv.org/abs/2610.07458 Hypergraphs offer a natural framework for modeling networked data, where dependencies among entities are governed by higher-order interactions. While hypergraph learning methods such as hypergraph ne...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Large scientific teams are more, not less, disruptive arxiv.org/abs/2610.07329 Modern science has moved decisively toward larger and more collaborative research teams. Yet an influential 2019 study reported that small teams are more disruptive than large teams, a conclusion difficult ...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Responsible Institutional Analytics: Interpreting Bias with AI Support arxiv.org/abs/2610.07205 Institutional Analytics (IA) dashboards inform decision-making in higher education, yet data limitations, constraints in analytical techniques, and missing contextual information often affe...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Learning to Simulate Individuals from Macro Social Signals arxiv.org/abs/2610.07062 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 fr...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Stochastic evolutionary dynamics in structured populations: Network degree governs evolutionary stability arxiv.org/abs/2610.05857 Stochasticity shapes evolutionary dynamics in finite populations beyond the reach of infinite-population theories. Using a stochastic birth--death framewo...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Keeping the interaction structure explicit: comment on ''Graphs are maximally expressive for higher-order interactions" arxiv.org/abs/2610.08712 Peixoto et al. (arXiv:2602.16937v2) stress that graph-based formulations can express any interaction model, a point the literature on higher...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Space Diplomacy Toward a Legal Regime for Space Resource Activities on the Moon arxiv.org/abs/2610.08542 The development of national policy and legal outputs toward space resource utilization across several countries accelerated after the introduction of the Artemis Accords in 2020. T...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Causal asymmetry suggests productivity underlies scientific collaboration arxiv.org/abs/2610.08477 Scientific productivity and collaboration are closely related, yet the causal direction between these two dimensions of academic careers remains unclear. Here we analyze the careers of 2...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Enhancing LLMs with Cognitive-Affective Personality Inference for Simulating Human Social-Psychological Behavior arxiv.org/abs/2610.08328 Large language models are increasingly used to simulate human participants in social and behavioral studies, yet static persona prompting typically...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Understanding Interfirm AI Talent Flow Networks through Online Professional Profiles arxiv.org/abs/2610.08264 Artificial intelligence capabilities are often measured as resources accumulated within firms, yet they also circulate across organizational boundaries through worker mobility...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
A New Model for the Income Distribution arxiv.org/abs/2610.08143 In this study, we propose a kinetic trap--diffusion model to describe the emergence of Pareto distributions in money-exchange systems. Using kinetic Monte Carlo simulations, we show that the Pareto exponent depends expli...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Social Physics: A manifesto arxiv.org/abs/2610.08117 Social Physics seeks quantitative, empirically testable explanations of collective human behavior. Its name has a long and contested history, but its contemporary program is neither the claim that society is literally a physical sys...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Probabilistic neighbors' selection competes with confirmation bias in a bounded confidence model arxiv.org/abs/2610.07971 In this work, we investigate three modified versions of the classic Hegselmann-Krause opinion dynamics model, incorporating features that are typical of many real-...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Benchmarking System One Models in Online Moderation arxiv.org/abs/2610.07953 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. We evaluate whether System One M...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Target-Aware Network Dismantling with Limited Budgets arxiv.org/abs/2610.07926 During epidemics, limited resources dictate critical decisions about whom to isolate or monitor. Conventional public health strategies intuitively prioritize known infected individuals and their immediate c...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Simulating Strategies for Defense Against Brand-Targeted Online Disinformation arxiv.org/abs/2610.07407 Brand-targeted disinformation can damage firms not only by spreading false beliefs, but by eroding trust, amplifying reputational uncertainty, and persisting across networked digita...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Forecasting the Growth of Social Media Information Cascades: Towards Human-in-the-Loop Misinformation Triage arxiv.org/abs/2610.07209 Limited review teams must identify which emerging claims are likely to keep growing before their eventual reach is known. We center early misinformatio...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
The search process of professional detection dog teams in realistic environments arxiv.org/abs/2610.07129 Scent detection work is a form of interspecies cooperation. Dogs sample odors that handlers cannot perceive, and handlers decide where the team searches and which of the dogs' res...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Aggregating User Preferences while Ensuring Equity, Diversity, and Inclusion using Graph Summarization arxiv.org/abs/2610.07128 Aggregating the preferences of diverse user groups into a collective outcome raises fundamental challenges of equity, diversity, and inclusion (EDI): classic...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
WPTokens: A Dataset for Studying the Regulation of Wikipedia arxiv.org/abs/2610.07108 Studying how Wikipedia is regulated requires knowing who adds, rewrites, moves and deletes which piece of content, when and where. WPTokens is a dataset that answers these questions over the full rev...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 07/10/2026
Representation-Aware Modularity with a Distance-Calibrated Null Model arxiv.org/abs/2610.07088 Modularity is a standard objective for community detection, comparing observed intra-community connectivity with its null-model expectation. Modern node embeddings capture structural and sem...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
FairProp: Fair Node Representation Learning via Differentiable Propagation Layers arxiv.org/abs/2610.06484 Graph neural networks (GNNs) are the standard tool for node representation learning and are increasingly used in high-stakes settings. Their message-passing backbone, however, ca...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Graph Data Augmentation via Contrastive Generator Inversion ($\texttt{DCBA}$) arxiv.org/abs/2610.05653 Graphs provide a natural representation of many complex systems, ranging from social platforms to ecosystems. However, the development of graph-based machine learning methods is ofte...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Inductive Claims Extraction at Scale arxiv.org/abs/2610.05275 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 reality and can range from f...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Your Temporal Link Predictor Is Blind to Who Is Active: A Missing Factor That Transfers Across Models arxiv.org/abs/2610.04869 An interaction has two parts: someone decides to act, and then chooses whom to act on. Temporal link prediction has concentrated on the second, and we show th...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning arxiv.org/abs/2610.04686 Multi-agent debate can improve reasoning, yet often fails to beat simple majority voting. We argue that successful debate requires two distinct mechanisms: proposal supp...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Emoji-Emotion Ranking System Using Twitter Data arxiv.org/abs/2610.04495 Nowadays, emojis are often replacing words. Yet computational systems still oversimplify them. Most existing approaches treat emojis as static sentiment indicators and overlook their emotional distributions. In t...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction arxiv.org/abs/2610.04056 Synthesizing realistic graphs at scale is vital when the graphs of interest are large and real-world samples are limited or access-sensitive. Diffusion-based generators have rec...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Evaluating LLM-Generated Preference Distributions arxiv.org/abs/2610.01000 Large Language Models (LLMs) are increasingly used as probabilistic generators for simulation, synthetic data generation, and decision support in settings where real-world data are unavailable. Yet, the structu...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Predicting Engagement with Sponsored Content Across Account Types on Instagram arxiv.org/abs/2610.06164 In this work we explore how users interact with sponsored content on social media platforms by collecting and analyzing a large-scale dataset of sponsored Instagram posts. To mainta...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Preferential centrality with a density penalty: formulation and an open-source implementation arxiv.org/abs/2610.06118 Preferential centrality (Hellervik, Nilsson and Andersson, 2019) models spatial activity through feedback between activity and attraction. We extend it with a density...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
An evolutionary origin of collective decision making in humans and machines arxiv.org/abs/2610.05676 Groups of individuals can solve collective problems more accurately than any single member, by aggregating their opinions. Recent theoretical work has identified individual-level rewar...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Fast-variable reduction to complex contagion unifies epidemic models arxiv.org/abs/2610.05467 Across biological and social complex systems, models of epidemics or contagions incorporate complexity through network correlations, adaptive behavior, higher-order interactions, or co-circul...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Exact computation of the network modularity with branch-and-bound arxiv.org/abs/2610.04668 We consider the computation of the network modularity, a common measure of the structure of networks or graphs that quantifies the division of a network into modules or clusters. The computation...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
All against the machine: the Solo score for rating skill in variable environments arxiv.org/abs/2610.04523 We propose a distribution-free metric to rate individual skill in ``player-versus-environment'' settings, where participants face heterogeneous tasks without direct opponents. Su...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
FLAT: Smoothing the Rugged Landscape for Learnable, Sample-Efficient Traffic Calibration arxiv.org/abs/2610.04337 Calibrating microscopic traffic models for digital twins is an expensive black-box optimization problem: tuning car-following and lane-changing parameters requires a full ...📈🤖
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ArXiv Paper Poster (cs.SI & ph-soc) @soc-net-bot.bsky.social · 06/10/2026
Gated Graph Neural Networks for Learning Hidden Independent Cascade Dynamics arxiv.org/abs/2610.04033 Information and infectious diseases spread through social networks, but the spreading probabilities driving them are hard to estimate without per-node activation times. Applications s...📈🤖
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