Latest Articles for Social Science

Discussing robust consensus ranking to maintain accuracy in flawed data environments.

A clear method for ensuring fairness in resource distribution among individuals.

This article discusses a model for comparing different types of networks effectively.

Team logic offers a new way of analyzing relationships among variables.

A look at how random assignments shape OLS regression outcomes.

A look into the properties and challenges of intersecting even cycles in graphs.

Understanding complex interactions in datasets using tensor methods.

Combining machine learning and matching methods for clearer treatment effect analysis.

This article reviews findings on giant components in high-dimensional networks.

Researchers develop a benchmark for assessing media bias detection tools.

A novel approach to detect factors influencing treatment outcomes in healthcare.

New slicing-free methods improve data analysis for complex datasets.

An overview of self-interacting Markov chains and their implications in various fields.

This study examines how urban or rural living affects income from early adulthood.

Explore how groups can outsmart individuals through collaboration.

Exploring patterns in graphs through Ramsey theory and its applications.

Caliper matching improves comparisons in research, reducing bias in treatment effect estimates.

A new method to find overlapping groups in complex networks.

Explore the essential concepts and behaviors of cellular automata in various systems.

New insights on triangle-free graphs reveal unlimited chromatic numbers and challenge past beliefs.

Learn about permutations and their significance in combinatorial statistics.

This article discusses the role of hypergraphs in understanding complex networks.

A look into median and k-median graphs and their significance.

A study on combining Ising models and Bayesian mixtures for better data analysis.

This method improves data analysis by addressing ties in correlation measurements.

New robust estimators enhance functional data analysis despite outliers.

A new method enhances predictions for complex non-linear systems using graph structures.

A study on predicting demographics from blog posts using advanced text analysis.

A look at negative association and correlation in random variables.

A new tool for analyzing complex networks using graphlet analysis.

This study examines how communication affects decision-making and cooperation in social dilemmas.

Examining how excitable systems form patterns and their implications in biology and technology.

Exploring new methods for random sampling in complex networks.

This article explores interventional probability distributions and their role in causality.

Learn how graph rewriting transforms data for better analysis of complex systems.

Exploring how phase lag and higher-order interactions affect synchronization in various systems.

Learn how to select the best random graph model for network data analysis.

This project studies how language affects demographic biases in translations.

Learn about identifying relationships between variables and their impact on predictions.

Learn how Latent Class Analysis uncovers patterns in categorical data.