Latest Articles for Social Science

Analyzing traditional and machine learning methods for handling missing data.

A new method evaluates conclusions from incomplete datasets in various research fields.

Explore the fascinating world of random graphs and their applications in various fields.

A look at record linkage algorithms and their impact on data analysis.

Examining biases in sentiment analysis models used in political research.

A look into the properties and applications of distance matrices in trees.

A look at methods to measure collective behavior in biological systems.

Explore the importance of triangles and bowties in graph theory applications.

This article explores how interacting particles move collectively in various systems.

This article explores how individual traits affect resource distribution and inequality.

Examining graph structures, including cycles and connections between vertices.

Explore how the closed neighborhood corona product shapes graph relationships and properties.

A look at how transformations impact mean and covariance in data analysis.

BART is a powerful tool for predicting outcomes in various fields.

A new framework improves agent-based modeling by integrating diverse expert insights.

Examining the complexities of sampling from the Ising model under spectral constraints.

An analysis of how surveys impact AI research, values, and public engagement.

A look into how evolutionary games shape behavior and strategies across various fields.

A study on incorporating diverse perspectives in argument retrieval systems.

A new framework enhances capture-recapture techniques for better population estimates.

Researchers must verify assumptions for valid conclusions in statistical analysis.

A new method addresses privacy challenges in estimating U-statistics accurately.

This study focuses on estimating the regularity index for discrete Pareto distributions.

Improving data quality through collaborative efforts in the annotation process.

Learn how eigenvalues and correlation matrices aid in data analysis.

This article discusses the importance of regular grammars in graph structures.

Exploring how chaotic systems behave and their irreversibility impact across various fields.

A fresh approach to studying complex socioeconomic systems using machine learning and traditional models.

SignedLouvain improves detection of communities in networks with positive and negative relationships.

Analyzing how averaging shapes number distributions over time.

A new method improves causal discovery accuracy using automated kernel selection.

Discover the role of digraphs in relationships and mathematical structures.

Learn how Gaussian Processes improve predictions and manage uncertainty in data analysis.

This article discusses how to approach treatment effects despite participant non-compliance.

A look into how the GDID method enhances causal analysis in research.

Examining how predictions affect collective behavior and social well-being.

Exploring methods to control and optimize interactions among diverse agents across multiple sectors.

Study reveals how oscillators synchronize within random networks despite varying connections.

Methods for transforming complex data into clear visual formats.

Learn how quantile regression and MM algorithms improve data analysis across various fields.