Latest Articles for Social Science

Explore how random graphs model complex systems and their real-world applications.

A new approach to analyze varying effects of treatments on different groups.

Learn how Hawkes processes model interconnected events in various fields.

This study investigates how biases in LLMs affect human interaction simulations.

A look into clustering methods when data is incomplete.

This article discusses the significance of factor loadings in Confirmatory Factor Analysis.

Learn how causal graphs reveal dependencies between variables.

A study comparing imputation methods for handling missing data in hierarchical structures.

A modular approach to simplifying complex statistical estimation processes.

Researchers analyze how diseases transmit in communities using advanced modeling techniques.

A method for conducting Bayesian tests while safeguarding individual privacy.

Learn about graphs, eccentricity, centrality, and their applications.

A look at how stratified randomization improves research accuracy.

A look into the Potts and Ehrenfest models to study non-equilibrium behavior.

Examining how language affects cultural alignment in AI models.

This method enhances subgroup discovery and offers clearer insights.

A look at nonsense correlations and their implications in data analysis.

Exploring how hidden variables affect matter interactions and opinion dynamics.

A new framework for analyzing longitudinal data with missing values in various fields.

A look at how particles interact to create collective behavior.

Discover the complexity of relationships in higher-order networks and their applications.

A fresh approach offers efficient solutions for the vertex cover problem in graphs.

Study the interactions and behaviors in complex networks through innovative techniques.

New method streamlines network rewiring, enhancing research efficiency and insights.

New method improves graph data analysis through nonlinear sheaf diffusion.

Learn how causal isotonic calibration enhances treatment effect predictions across various fields.

Explore the impact of randomness on complex systems through advanced mathematical models.

Examining how parts interact to create new outcomes in complex systems.

A new approach to understanding complex variable interactions in data.

A new method tackles the issue of missing data in various fields.

Explore the growth and applications of random trees in mathematics and nature.

A new approach enhances how different data types are combined for better analysis.

A look at using hypergraphs to study Metzler positive systems.

A look into hypergraphs and their roles in various fields.

Explore GWSBM and GWPDSM models in community detection.

This article presents a new method for measuring city livability indices.

A new algorithm enhances detection of exchangeable factors in factor graphs.

A look at how longitudinal data reveals trends and insights.

Exploring new methods in algebraic statistics across educational testing, regression, and contingency tables.

Learn how to improve linear regression by tackling self-selection bias.