Latest Articles for Social Networks

Discover key methods and applications of anomaly detection in changing data structures.

A look into how networks form through exponential random graphs.

Exploring how homophily shapes friendships and communities through technology.

A new method for identifying key influencers in hypergraphs shows promising results.

Research develops methods for better understanding complex graph relationships.

Viscous democracy enhances group decision-making by adjusting voting power.

A new method improves the understanding of long-range dependencies in dynamic graphs.

A look at clustering methods for changing graph structures.

A new graph clustering algorithm improves efficiency in real-world data analysis.

A look into how links form and evolve in social networks.

Explore the importance of graphs in science and mathematics.

Exploring how trust influences personalized recommendations in online platforms.

This study explores how teachers influence each other's beliefs and practices.

A new benchmark for evaluating dynamic text-attributed graphs in various fields.

Examining how interference affects treatment outcomes and improving estimation methods.

This paper presents methods to detect unreliable websites using dredge words.

A look into the structure and significance of short cycles in planar graphs.

A look at the frozen version of random graphs and its implications.

Exploring how opinions evolve and impact society amidst increasing polarization.

Discover the fascinating world of posets and their real-world applications.

A novel method uses random walks for efficient graph clustering.

New methods improve understanding of social influence within networks.

A new framework helps visualize dynamic graphs for better insights and analysis.

Tensors offer a new way to analyze complex data across various fields.

A new model highlights the importance of group appeal in social interactions.

Introducing a simple inverse power method for solving balanced cut problems efficiently.

Commute Graph Neural Networks improve understanding of directed graphs through enhanced relationship insights.

Researchers enhance graph understanding through learned distances and node features.

A look into how ideas and behaviors move through various network structures.

Explore the fundamentals and applications of graph theory and cut complexes.

Exploring how graphs and hypergraphs reveal relationships in different fields.

A fresh approach enhances community detection in sparse and imbalanced networks.

Examining how curvature improves understanding of community structures in various networks.

This article explores community detection and mutual information in networks.

Combining snapshot and event-based models to improve temporal graph analysis.

A study on how timing influences social connections and interactions.

This article explores interactions in directed networks, focusing on reciprocity and frustration.

Exploring how mass media shapes public opinion during critical events.

A look into how dynamic graphs shape our interactions and insights.

A fresh approach to understanding complex human connections through fuzzy social network analysis.