Latest Articles for Social Science

Combining survey data for better insights and reliable estimates.

A study on dividing sparse graphs into two trees under specific rules.

A new method enhances causal effect estimation in interconnected environments.

Introducing leaky instruments for better causal analysis in complex data scenarios.

Learn how merging survey data can enhance results and reduce costs.

A new method examines how social influences affect educational outcomes.

Automated systems using LLMs are changing the way we study human behavior.

This study highlights the challenges AI faces in reflecting human psychological traits.

Analyzing how connections in sparse networks shape their properties and behavior.

A model explaining how infections move through networks and its real-world implications.

New concepts in graph width enhance analysis and applications in various fields.

An overview of key concepts in graph theory and their relevance.

New techniques improve envy-free cake-cutting among multiple participants.

Exploring how organisms move towards or away from chemical signals.

This article presents a method to test independence in categorized data.

This article explores the friend of a friend model in social networks.

Explore the significance of cluster size in interconnected networks.

A cautious approach to selecting causal models improves research accuracy.

A new method for identifying local causal relationships in data.

Exploring edge dependencies for better graph modeling in real-world networks.

CAVIAR transforms how categorical variables are analyzed, improving outcomes in various fields.

A new method for analyzing temporal networks and their uncertainty.

A rich collection of texts from the Israeli parliament for analysis.

This article explores the relationship between magnitude homology and path homology in directed graphs.

Analyzing the significance of graph Laplacians in connectivity and structure.

An overview of important ideas within graph theory and their applications.

Introducing a fresh approach to analyze time series data in metric spaces.

This article explores how interactions impact survival and extinction in populations.

Learn about time-inhomogeneous Markov chains and their behavior over time.

This article examines how experiments relate to real-life situations in social science.

Learn how graph randomization helps analyze network behavior and patterns.

Understanding treatment impacts while accounting for network interference.

A method for building confidence regions in statistical equations for treatment effects.

Exploring the Ising model and its impact on various scientific fields.

A study on subgraph counts in complex networks using geometric scale-free random graphs.

Examining the properties and applications of metric graphs, focusing on -metric and hyperbolicity.

New systems enhance the classification of moral values in texts.

Understanding the complexities of evaluating single-treatment effects in factorial designs.

A method addressing data errors in high-dimensional analysis.

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