Latest Articles for Network Theory

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.

A guide to control methods in diffusively-coupled networks for better outcomes.

Research on Glauber dynamics sheds light on community detection challenges.

Analyzing how stubborn voters impact opinion dynamics and consensus creation.

A new method for estimating edge density in random graphs while ensuring privacy.

Examining how individuals choose technologies based on social influence and interactions.

A two-player game on a grid with strategic moves based on edge labels.

Learn how to navigate interference in data-driven decisions.

ConStruct framework enhances graph generation by integrating domain knowledge for practical applications.

Study reveals the impact of higher-order interactions on synchronization in multilayer networks.

Exploring how game theory can help manage disease spread and protection measures.

Exploring the potential and challenges of high dimensional expanders in diverse fields.