Latest Articles for Social Science

This article explains clustering methods for analyzing longitudinal data effectively.

A look into simplicial complexes and their impact on network science.

New methods reveal community structures in networks, enhancing insights in various fields.

A look into how directed simplicial complexes reveal complex interactions.

A new method improves causal learning despite missing data and cyclical relationships.

Learn how k-primitivity enhances our understanding of matrix interactions and real-world applications.

A method to tackle unobserved variables in research for clearer insights.

Exploring how the Bass model reveals innovation adoption in networks.

Analyzing label bias and its impact on research outcomes using Bayesian models.

A fresh approach to estimate treatment effects using many covariates and instruments.

This article presents a simpler method for mediation analysis in social research.

Exploring the evolving structure and behavior of adaptive dynamical networks.

A look into the types and properties of random intersection graphs.

Explore nonparametric testing methods for effective research outcomes.

A new method enhances word features using human insights.

This article discusses efficient methods for estimating parameters in agent-based models.

A novel approach using machine learning to infer ODEs from imperfect observations.

This article examines colored graphs and their significance in various fields.

A look at causal inference, treatments, and intermediate variables in research.

Exploring the organized structures in colorings of pairs through Ramsey's theorem.

Exploring how assumptions shape research findings and the importance of reevaluation.

A look into estimating the median treatment effect and its challenges.

A new framework for analyzing mediation effects over time in research.

This article looks at how social groups separate in urban areas.

A look at how players work together for shared goals.

Explore how synchronization impacts nature, technology, and health.

A dataset explores how cultural views shape the perception of offensive language.

This study examines compositional data and the importance of spatial analysis.

Two innovative techniques improve control of group dynamics in various settings.

Exploring the role of reaction-diffusion models in various fields.

A new approach to rank preferences by emphasizing top choices.

NeuraChip improves efficiency in processing graph data for various applications.

Explore the significance of representation numbers in graph theory.

A look into weight choosability and its impact on graph theory applications.

A look into circular-arc graphs and their significance in graph theory.

A new framework to evaluate biases in causal effect estimates.

This article discusses strategies to maintain diverse opinions within groups.

Explore how modeling social interactions enhances understanding of relationships.

Community detection reveals hidden groups within complex networks across various fields.

A framework to connect treatment effects and causal mechanisms in social science.