Latest Articles for Social Networks

A new method for counting cycles in graphs while ensuring user privacy.

An overview of temporal forests and their significance in tracking changing connections.

GASM combines graph structure and attributes for improved matching solutions.

This study investigates relationships among actors and directors in today’s film industry.

A look into hypergraphs and the role of homology in complex systems.

A new framework to identify connections in real-time interactions.

This study highlights the limits of sensitivity in algorithm design.

A look into how communities form in various networks and its implications.

This article discusses fairness issues in Graph Neural Networks and introduces a new method.

A new voice-based network bridges language gaps in emergencies.

Discover the fascinating relationships between numbers through GCD-graphs.

A look at independence numbers in unique graph structures.

A study on efficient vertex coloring techniques in specific graph structures.

Explore how rumors spread in social networks using the concept of burning numbers.

An overview of higher-order trusses and their significance in analyzing complex networks.

A look into graphs, bipartite expanders, and their real-world impact.

Learn how to anticipate links in teamwork through collaboration networks.

Learn how QAP connects data in various fields.

Learn how community detection helps reveal connections in massive data networks.

Graphs reveal relationships and connections in various systems.

A look into directed graphs, flag complexes, and their relationships.

A simple guide to graphs and their role in connections.

Exploring relationships in groups through the concept of power graphs.

Learn how dual graph approaches enhance data analysis and predictions.

Analyzing how groups form and shift within networks over time.

This article examines how connection weights evolve over time in graphs.

Learn about hypergraphs and how they help organize connections between different groups.

Explore how circulant graphs model friendships and connections in a unique way.

A look at how the Bethe-Hessian matrix aids in community detection.

Explore how graphs illustrate relationships and simplify complex connections.

Graph-aware Logistic Regression offers a simpler way to analyze data connections.

Learn how CGSOs enhance graph analysis by measuring node importance.

Discover how SSCDL improves graph analysis and data connection understanding.

A look at how adaptive networks influence our connections and behavior.

Explore the connections between Cartan matrices and quivers in a lively context.

Explore the significance of Helly number, Radon number, and rank in graph theory.

Examining how cooperation thrives in small-world networks and its real-life implications.

A look at how clustering shapes human connections in sparse networks.

Learn how simplicial and clique complexes relate to friendships and shapes.

Graphs connect our world, revealing important patterns and relationships.