Latest Articles for Network Theory

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.

Research examines species interactions in networks, revealing insights for ecology and economics.

This article explores the friend of a friend model in social networks.

Explore the significance of cluster size in interconnected networks.

Exploring edge dependencies for better graph modeling in real-world networks.

An examination of balance and relaxed balance in social interactions.

A new method for analyzing temporal networks and their uncertainty.

A new method uses total variation denoising to enhance epidemic tracking.

Discover how random hyperbolic graphs represent real-world networks effectively.

This approach simplifies and enhances network reconstruction across various fields.

A look into how networks form through exponential random graphs.

A study on turbulent fluid behavior using network analysis of VGT.

A new method to assess the effectiveness of Graph Neural Networks across varied network structures.

An analysis of community detection methods incorporating differential privacy.

A look at graph embeddings and the conditions needed for their mapping.

A look at how graph contraction improves data analysis in various fields.

A new approach to boost GNNs against noise and attacks.

A new approach to understanding graph similarity using mutual information.

Explore how to analyze networks with numerical values attached to each node.

A new model explains network hierarchies using fitness and preferential attachment.

Examining how random matroids develop unique properties over time.

A study on the shift points in changing networks over time.

Graphs model relationships and systems in various fields.

Learn methods for quick answers to queries in semigroups and tree structures.

Examining how timing changes affect reachability in dynamic networks.

New methods improve efficiency and accuracy in spectral density estimation for large graphs.

Study reveals random walks mimic Brownian motion in structured environments.

A look at how random movements impact connectivity in systems.

An exploration of polymatroids and their significance in mathematics and related fields.

Insights into how brain organization impacts cognitive flexibility.