Latest Articles for Network Theory

This article examines how directed networks function and their significance in various systems.

MIM-Reasoner optimizes information spread across multiple social media platforms.

Exploring how agents adapt their strategies in complex networked systems.

Exploring how connections influence cooperation in social networks.

Study of interacting systems reveals insights into complex dynamics.

The study investigates how people perceive relational networks through graphs.

Examining the reliability of hypergraphs amidst random edge failures.

A look into how Boolean networks model complex systems and their dynamic behaviors.

Exploring the properties of symmetric random matrices and their eigenvalues.

Exploring the evolving structure and behavior of adaptive dynamical networks.

Learn how factor analysis and varimax rotation clarify complex data structures.

New models enhance analysis of complex systems through directed hypergraphs.

Exploring how edge weights influence selection in population dynamics.

Examining how individuals interact based on similarity and differences.

Investigating computational limits of broadcasting methods using low-degree polynomials on trees.

Research aims to estimate graphons while ensuring data privacy.

Research reveals how bow-tie architecture aids neural networks in processing data efficiently.

This study explores machine learning methods for classifying different types of networks.

A new approach improves graph filter performance across various data types.

This article explores how connections affect oscillator synchronization and sudden state changes.

A new approach tackles misinformation spread across interconnected networks.

New methods improve creation of synthetic networks from limited data.

A study of spins in random networks and their interactions.

This article examines dynamic networks and their growth mechanisms using advanced methods.

A new method improves community detection in dynamic networks.

Methods for understanding three-phase radial networks using reduced measurements.

Explore how switching alters graph structures and their implications across various fields.

Exploring how attractive and repulsive connections shape cluster synchronization in networks.

A study on how traits spread in structured populations considering environmental factors.

This article discusses efficient learning in multilayer networked dynamical systems.

Examining how infections spread in complex networks through bootstrap percolation.

Efficient algorithms and heuristics for evaluating scanwidth in directed acyclic graphs.

Exploring random walks to analyze complex data structures effectively.

Introducing expanderized random walks for efficient sampling in complex systems.

Explore how random walks provide insights into network structures and behaviors.

A look into graphs, their properties, and their role in computer science.

An overview of key concepts in graph theory and their relevance.

Examining how ecosystem connections impact stability and biodiversity.

An overview of classical and quantum approaches to network reliability.

A new approach to understanding evolving networks through autoregressive modeling.