Latest Articles for Social Networks

This research focuses on better grouping strategies in social networks to enhance participant satisfaction.

This paper examines how opinions and connections change in social networks.

A new method enhances link prediction in networks with unseen relationships.

Analyzing the complexities of disease transmission in social networks through graphs.

Discover how hypergraphs enhance our analysis of complex relationships in various fields.

A study on how opinions spread in one-way social networks.

A look into indirect methods for understanding social networks.

Discover the significance and complexity of finding cliques in networks.

This article explores the assessment of probabilistic models in complex networks.

A look into the Biclique-Free Vertex Deletion problem and its implications.

This article examines twin-width and tree-width as important graph measurements.

Learn about correlation clustering and its real-world applications.

Simplifying counting problems in graphs through new approaches for better efficiency.

This article explores the clustering coefficient and clique number in network theory.

Learn how NSBM helps analyze unlabeled networks and detect communities effectively.

A new method for identifying balanced butterflies in complex relationships.

A look at how influence spreads through social networks.

An improved model for analyzing connections in bipartite networks.

A look at how academics present co-authors on online profiles.

Explore the connections and properties of graphs in various applications.

New algorithms improve accuracy in detecting overlapping communities in networks.

Examining how treatments affect individuals in connected social environments.

Exploring a new approach to find the maximum clique in graphs.

This article covers methods for finding small complete subgraphs in graphs.

This article examines competition between entities in scale-free random graphs.

Exploring Size-Ramsey Numbers and their impact on graph theory and sparse structures.

Examining methods for predicting links in social networks to enhance collaboration.

Learn how to address issues of data imbalance in graph analysis.

A novel approach to manage network interference in A/B testing for better results.

A look at how relations simplify data organization and enhance analysis.

A new model enhances influence spread in social networks efficiently.

A look at new methods for understanding how ideas and technologies spread.

A new approach to graph embedding enhances data analysis through physical force concepts.

A new framework improves hyperedge prediction accuracy using context-aware aggregation and self-supervised learning.

A new estimator improves analysis of how products spread in communities.

This article presents a method to assess treatment effects, considering participant interactions.

A look at how nonequilibrium states impact biological processes and interactions.

A look into methods for aligning graphs and their importance in various fields.

A new model enhances how networks gain connections over time.

Explore new methods improving correlation clustering efficiency and accuracy.