惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Microsoft Security Blog
Microsoft Security Blog
博客园 - 聂微东
aimingoo的专栏
aimingoo的专栏
J
Java Code Geeks
腾讯CDC
大猫的无限游戏
大猫的无限游戏
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Google DeepMind News
Google DeepMind News
博客园_首页
F
Fortinet All Blogs
小众软件
小众软件
Apple Machine Learning Research
Apple Machine Learning Research
H
Help Net Security
博客园 - 【当耐特】
量子位
博客园 - 叶小钗
M
MIT News - Artificial intelligence
酷 壳 – CoolShell
酷 壳 – CoolShell
月光博客
月光博客
MyScale Blog
MyScale Blog
爱范儿
爱范儿
The Cloudflare Blog
N
Netflix TechBlog - Medium
T
Tailwind CSS Blog

cs.SI updates on arXiv.org

Hiding in Plain Sight: Finding MAHA on Reddit Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Algorithmic Cultivation: How Social Media Feeds Shape User Language Universal Dynamics of Punctuated Progress AI-Mediated Communication Can Steer Collective Opinion CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Explainable Detection of Depression Status Shifts from User Digital Traces Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles Humanwashing -- It Should Leave You Feeling Dirty When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks Predicting Channel Closures in the Lightning Network with Machine Learning Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence When Can Digital Personas Reliably Approximate Human Survey Findings? RAwR: Role-Aware Rewiring via Approximate Equitable Partition GravityGraphSAGE: Link Prediction in Directed Attributed Graphs Structure-Centric Graph Foundation Model via Geometric Bases Attention-based graph neural networks: a survey When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Scalable inference of spatial regions and temporal signatures from time series Can LLMs Emulate Human Belief Dynamics? Predicting Post Virality with Temporal Cross-Attention over Trend Signals H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
Art History on Wikipedia, a Macroscopic Observation
Doron Goldfarb, Max Arends, Josef Froschauer, Dieter Merkl · 2013-04-20 · via cs.SI updates on arXiv.org

How are articles about art historical actors interlinked within Wikipedia? Lead by this question, we seek an overview on the link structure of a domain specific subset of Wikipedia articles. We use an established domain-specific person name authority, the Getty Union List of Artist Names (ULAN), in order to externally identify relevant actors. Besides containing consistent biographical person data, this database also provides associative relationships between its person records, serving as a reference link structure for comparison. As a first step, we use mappings between the ULAN and English Dbpedia provided by the Virtual Internet Authority File (VIAF). This way, we are able to identify 18,002 relevant person articles. Examining the link structure between these resources reveals interesting insight about the high level structure of art historical knowledge as it is represented on Wikipedia.