Latest Articles for Network Theory

Exploring self-repellent random walks to improve sampling efficiency in complex systems.

Explore how redirection shapes the structure of networks in various domains.

Limiting interactions among agents enhances decision-making in distributed systems.

A new approach to analyze time series data on network edges.

Analyzing stability in networks through structural balance theory and efficient algorithms.

A look into the Steiner Tree problem and its applications across various fields.

Techniques to control synchronization in networks, focusing on targeted node selection.

Explore the formation and significance of core-periphery network structures in various systems.

A look into the challenges and applications of the minimum generating set problem.

Examining how node connections influence synchronization in phase oscillators.

A method to enhance connections between isolated groups in networks.

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

Explore the complex world of zero-divisor graphs and their defensive alliances.

Research shows attractors grow exponentially as Kauffman networks increase in size.

A look at node classification methods and their applications in various fields.

This article examines how cooperation develops in dynamic group settings over time.

This article discusses a new model for studying complex physical networks.

A look at geometric inhomogeneous random graphs and their practical applications.

A new method improves speed and accuracy in U-statistics risk control.

A new approach to graph classification using spectral features improves accuracy and simplifies analysis.

This study examines how infections spread using hypergraphs to represent complex interactions.

This study sheds light on the role of ordered matchings in Ramsey theory.

A new deterministic algorithm for (degree + 1)-list coloring in distributed systems.

This study examines how mutants thrive based on their connections in networks.

Study reveals how localized changes impact magnetic network behaviors.

A look into nonlocality and its implications in quantum systems.

Modeling complex biological interactions using strong regulatory graphs for better insights.

Learn how difference-of-convex programming enhances optimization solutions across various fields.

A look into how MTIs help analyze network structures and behaviors.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Learn how minimally reactive networks facilitate consensus among connected systems.

A look into the dynamics of interconnected oscillators and their behaviors.

A novel method for analyzing connections in multiple networks simultaneously.

Exploring the role of curvature in understanding network connections and community detection.

A look at influence maximization through hypergraphs and the HCI-TM algorithm.

New methods improve community detection in networks through neural graph embeddings.

A new model for understanding complex networks with multiple connections.

Examining the role of asymmetry in human connections.

A look into the fundamentals and applications of graph theory.

Exploring smooth functions that improve the maximum function's usability in mathematics.