Latest Articles for Network Theory

Explore how opinions change and form consensus in networks through the voter model.

Explore key patterns that shape complex network dynamics and their significance.

Management of cluster synchronization optimizes performance in various systems.

Learn how agents influence each other in work settings through motivation and contracts.

Research reveals how random networks influence behavior and communication.

A new method enhances model training in temporal networks.

Exploring the complexities and applications of hypergraphs in mathematics.

Exploring the connections between composite numbers through coprimality and network structures.

This research examines random walks on bifractal networks and their unique dynamics.

Explore a new method for optimizing Markov chains effectively.

A look at how Ideal Flow Networks simplify and optimize various systems.

A study on the behavior of cellular automata and random networks regarding memory tasks.

Exploring how size variation influences material connectivity and properties.

Exploring resource allocation strategies for optimal performance in quantum networks.

Learn how hyperbolic spaces improve data modeling for complex structures.

Exploring the links between biological relationships and electrical circuits.

This study examines the influence of link weights on synchronization in multilayer networks.

Exploring LASSO for effective model selection in network data analysis.

A look into graphs, their properties, and their impact on systems.

A look into unique connections between points in geometry using parabolic-taxicab distance.

Examining triangles in graphs reveals insights into structure and connectivity.

This article examines crucial relationships between branching processes and graph structures.

Exploring the impact of temporal message passing in graph neural networks.

Researchers explore QL bits for enhanced information processing in classical systems.

This article explores the behavior of graphs during edge retention randomness.

This article presents an algorithm for creating consensus clusterings from various graph partitions.

A look at Gorenstein flow polytopes and the role of equatorial flow triangulations.

Introducing a model for better connections and clustering in networks.

Study of connections in networks through random geometric graphs.

Exploring the behavior and structure of random graphs in various contexts.

Ultrahomogeneous graphs showcase symmetry, impacting various fields like computer science.

A study on the dynamics of feed forward networks and their analysis methods.

A method for stable and reliable identification of communities in networks.

Examining how hubs function in random networks and their impact on overall dynamics.

A new model for better understanding dynamic connections in networks over time.

A look into the odd cover problem and its implications in graph theory.

An overview of gradient flows and their significance in various fields.

Exploring the dynamics of neuron communication in varied networks.

Learn how to sample graph signals effectively while maintaining accuracy.

A look at Dowker duality and its applications across various fields.