Latest Articles for Social Science

Examining how behaviors spread using hypergraph models.

Learn how causal discovery reveals relationships between variables in social sciences.

Exploring LASSO for effective model selection in network data analysis.

Study community formation in networks to gain insights into social behavior.

A look into graphs, their properties, and their impact on systems.

This article investigates how directionality influences Turing patterns in complex systems.

Examining cooperation strategies and their impact on social welfare.

Learn about sampling methods to study large networks effectively.

Learn about selection bias, its impacts, and how to control it in research.

This method improves data analysis efficiency in large, complex datasets.

This study examines ways to improve cluster detection in graphical visualizations.

This article examines how well language models reflect human political beliefs and morality.

A study of labeling techniques in null and 1-regular graphs.

A method to better understand how different groups are impacted in studies.

New approach improves off-policy evaluation by considering social influences.

Examining dependencies and mean effects for improved modelling accuracy.

Ultrahomogeneous graphs showcase symmetry, impacting various fields like computer science.

A method for stable and reliable identification of communities in networks.

Combining AI and human annotations improves data accuracy and efficiency in research.

A new method enhances data reliability in A/B testing.

A framework to improve expert contributions in agent-based models.

Learn how causal knowledge graphs analyze relationships and inform decisions.

A guide to the methods and applications of clustering categorical data.

This article examines how spatial data affects prediction models in various fields.

A look into how we find cause-and-effect relationships in data.

This paper explores methods to assess policy effects over time.

A method to validate Tobit models by testing key assumptions.

Exploring the interactions of graphs and their blowups, focusing on triangle-free structures.

A look into graphs, their properties, and practical applications.

Examining how modifications affect network behavior and performance across various systems.

Explore how topological communities enhance our understanding of complex networks.

Examining dynamics of Markov processes in complex networks for diverse applications.

New algorithms help protect participant data while estimating treatment effects.

GeoMatching improves treatment effect estimates by considering data geometry.

An innovative framework to analyze complex systems through higher-order interactions.

This article discusses issues in Regression Discontinuity designs and how to address them.

Examining the role of higher-order causality in understanding complex systems.

A look into intersection graphs and their significance in various fields.

Nonparanormal models provide insights into complex, non-normal data relationships.

Explores how stochastic differential equations enhance data analysis in various fields.