Latest Articles for Network Theory

Exploring how to cover geometric graphs with star-forests efficiently.

Examining the complexities of defensive alliances in different types of graphs.

A look into posets, random complexes, and their implications in various fields.

This article explores how shapes and patterns connect in mathematical percolation models.

Examining the role of weights in complex network structures.

This article presents a new hub model for neural networks based on brain structures.

This article examines how social media influences opinion change and dynamics.

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

Exploring how networks of chaotic systems achieve synchronization over time.

A look at how ideas spread in networks over time.

Research reveals conditions for Hamiltonian cycles in 2-strong digraphs.

Explore the unique dynamics of hybrid percolation transitions and their implications.

This study introduces a new method to analyze sparse economic networks.

Examining how group behavior changes through deeper connections and interactions.

A look into graph theory's role in identifying structures.

This research explores the evolution of dynamic networks using motifs and node roles.

Learn how directed graphs use spanning trees and distributions for real-world applications.

A new Monte Carlo method enhances matrix function analysis for complex networks.

A new model improves the analysis of changing graphs using graph embedding techniques.

An overview of privacy concerns in information sharing through gossip protocols.

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

How small groups influence cooperation in society through committed actions.

Study of signed graphs reveals new coloring methods and properties.

This article examines how networks grow through the duplication-divergence model.

A look into the PH-property and its significance in graph theory.

Explore the key concepts of graph connectivity and their applications in various fields.

Examining how brain activity relates to artificial neural networks.

Discover the significance of the Hitting Set Problem in various applications.

Learn how agents explore unknown graphs while minimizing travel costs.

Learn about how cascading failures impact various networks and their resilience.

Explore how random allocation models reveal patterns in diverse systems.

Exploring the impact of random walks on algorithms and complex systems.

A guide to network inference and the hub model's role in analyzing group dynamics.

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

A framework combining pattern recognition and filtering enhances model reliability in complex networks.

Study reveals fixed points in Steinberg group actions on Banach spaces.

A look into the properties and significance of clique graphs in hexagonal lattices.

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

A new method to analyze evolving networks effectively over time.

A new method for efficient information sharing in networks using cooperative learning agents.