Latest Articles for Social Networks

This article discusses methods for assigning edge weights based on graph structure.

A framework utilizing few labeled examples for effective graph anomaly detection.

Exploring the impact of social networks on the acceptance of new ideas.

This study shows how directed edges enhance GNN performance, especially in heterophilic graphs.

This study examines how different network types affect participant cooperation during gaming.

This study examines how connectivity changes with open and closed edges in graphs.

Gelato offers a simpler, effective method for link prediction in networks.

An overview of graph parameters and their significance in various fields.

Learn how network embedding simplifies complex relationships in various fields.

Examining how local knowledge shapes player actions in network structures.

DotHash improves set similarity estimation, offering fast and accurate results for large datasets.

A new method improves accuracy in kernel methods using graph data.

Combining graph rewriting with GNNs for dynamic data analysis.

A study on how to maximize influence in social networks using targeted strategies.

Discover the significance of node role discovery in analyzing network dynamics.

A new method improves finding dense groups in social networks.

GC-Flow improves clustering in graph data through integrated classification and clustering techniques.

Examines how different node types affect Graph Neural Networks' performance.

This paper examines how behaviors spread through social networks and proposes a new estimation method.

Explore how networks influence the spread of new ideas and behaviors.

A new model improves classification of nodes based on their variable roles in hypergraphs.

This article examines how time affects short-term relationship longevity.

Exploring the structure and connectivity of networks through Betti numbers and preferential attachment.

A method for finding superfluous elements in complex networks.

This paper examines how local homophily affects graph neural network performance.

Introducing a new model for understanding the growth of scale-free networks.

A new method enhances semi-supervised community detection by focusing on node similarity.

A look into link prediction methods and their applications across various fields.

A novel method to enhance graph representation and classification accuracy.

A new approach to analyze complex relationships over time using temporal hypergraphs.

New methods to assess privacy risks in social networks, considering distant connections.

A new method enhances node label prediction using task affinities for improved performance.

New framework enhances node classification with limited data in graphs.

A look into bicyclic graphs and the edge Mostar index in mathematics.

A look at graph matching and its applications in social networks and beyond.

A new method uses social graphs to improve fake news detection.

Study reveals links between plant chemicals and animal social behavior.

Explore the role of signed graphs in analyzing relationships and connectivity.

A look into colored mixed graphs and their relationships.

An overview of graph connectivity and the edge-Erdős-Pósa property.