Latest Articles for Social Science

Explore the complexity of multilayer networks and their real-world applications.

Explore the significance of cycles in graph structures and their applications.

NormMark enhances chatbots by recognizing social norms in conversations.

Innovative approaches to study group differences beyond traditional measures.

Learn the basics of combinatorial structures and their applications across various fields.

Examining methods for comparing treatment effectiveness in research.

Atypicality impacts the reliability of machine learning predictions significantly.

Learn how to identify shifts in data distributions using advanced statistical methods.

This article presents a novel method for hierarchical clustering that utilizes dot products for better data relationships.

Explore how redirection shapes the structure of networks in various domains.

A new method enhances accuracy in gathering subjective evaluations by using pairwise comparisons.

A look into graphs, maps, corners, and symmetry in mathematics.

Examining how language models perceive moral norms across cultures.

Discover new methods for fairly dividing resources among individuals and groups.

AI tools like GPT-3 may improve data coding for social scientists.

A look at how spins behave in complex systems using specific models.

A fresh approach to analyze data using GLMs in complex scenarios.

A novel approach combines NMF and SDP for effective clustering.

Analyzing how time zone design affects health and social outcomes.

A look at theories, models, and their key properties in science and mathematics.

Introducing SLCE, a supervised approach for clearer data visualization.

A look into improved estimation methods for complex statistical relationships.

Learn about a new method that identifies cause-and-effect relationships in time series data.

Examining how measurement timing influences experimental outcomes in social research.

Exploring synchronization through higher-order interactions in complex systems.

New statistical methods improve understanding of relationships among multiple factors.

Learn how triclustering helps uncover patterns in complex tensor data.

This article discusses the significance of community detection in network analysis.

A new method improves how we cluster data with numbers and categories.

Explore the key concepts and implications of graph theory in real-world applications.

New Stirling-gamma distribution enhances flexibility in data clustering.

Using machine learning to analyze life events and predict individual outcomes.

A new method enhances labeling accuracy for social science studies using LLMs.

SiBBlInGS offers a method for breaking down complex time series data.

Explore the fundamentals and uses of graph theory in various fields.

Exploring the Kuramoto model's applications in various fields and its numerical methods.

Learn how decomposing fuzzy relations clarifies preferences in uncertain situations.

A new template to improve data quality and documentation for online research.

Examining how nonlinear transformations improve ridge estimation in high-dimensional data.

A new approach to enhance testing accuracy amidst data variability in research.