Latest Articles for Social Science

A method addressing data errors in high-dimensional analysis.

Examining how social trends shape energy consumption in the UK and Ireland.

Learn how percolation theory explains connections in various systems.

A new method improves treatment effect estimates in complex datasets.

A look at new techniques for identifying cause-and-effect in various fields.

A new method for verifying the common trend assumption in treatment effect studies.

A look at how scientists evaluate causality across various fields.

A look into saturated hypergraphs and their significance in random networks.

A look into how probability and causal reasoning shape our understanding and decisions.

Discover a novel approach to causal inference with cocycles.

This study explores the impact of predictions on individual actions and outcomes.

Learn how to allocate houses fairly while addressing feelings of envy among individuals.

Exploring how smart cooperators influence group behavior in social dilemmas.

This study analyzes how language influences cultural values in large models.

A rich dataset of 2.7 million news articles from 1878 to 1977.

Combining fuzzy logic with causal inference for better real-world analysis.

Analyzing particle systems with graphons for improved predictions in complex networks.

Exploring mathematical frameworks for understanding mass movement in various systems.

Methods for measuring treatment effects across diverse groups and time frames.

A tool helps link current events to historical contexts.

A deep dive into random walks and their significance in complex systems.

A look at causal effects in exchangeable data settings and their implications.

A look at methods for understanding long-term effects across different fields.

GMR offers a fresh approach to studying multiple factors and outcomes in research.

A new method improves understanding of treatment effects by merging RCT and observational data.

Using social media to better analyze and understand personal identity.

Explore the risks and defenses in rank aggregation processes.

A look into graphs, their structures, and the implications for data analysis.

A novel AI model provides accurate and clear treatment effect predictions.

A flexible method for ranking nodes in bipartite networks across various fields.

Examining differential privacy's effectiveness in protecting individual identities in SOEP data.

Researchers develop new methods to improve graph generation for various applications.

Explore the significance of planar graphs and their edge limits.

Explore the fundamental concepts and applications of graph theory in various fields.

Learn how bifiltrations enhance data analysis by examining two parameters simultaneously.

This article examines how clustering influences Turing instability in complex networks.

This article examines how social hierarchies form between competing groups.

A look into how oscillators achieve synchronized behavior through the Kuramoto model.

A new method makes causal relationship analysis more efficient and manageable.

This article examines behaviors in multiagent systems and methods to control them.