Latest Articles for Network Theory

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.

Exploring the behavior and implications of scale-free geometric random graphs.

Exploring the impact of weak random walks on network analysis.

Research on enhancing information flow in networks by adding connections.

Planar-Rips complexes reveal connections and structures in two-dimensional data.

Exploring random cell complexes in mathematics and data analysis.

A new pooling operator using Ricci curvature enhances graph learning.

Learn how hypergraph cut sparsifiers maintain essential features while reducing complexity.

A look into graph theory and the properties of triangle counts.

This article examines how clustering influences Turing instability in complex networks.

This article examines how echo chambers form in various signed networks.

Study the independence number behavior in random Cayley graphs as generating sets change.

A study on how social interactions shape opinions over time.

Discover key concepts of odd edge-colorings and coverings in graph theory.

A practical approach to prevent cascading failures in vital networks.

Examining the link between social media and opinion dynamics.

Examining how curvature improves understanding of community structures in various networks.

This research investigates bootstrap percolation in high-dimensional networks.

An overview of how opinions evolve within social connections and networks.

A study on the dynamics and connectivity of networks using preferential attachment graphs.

Learn methods to maximize flow in networks and minimize transportation costs.

A look into mixed multigraphs and their role in graph theory.

Exploring how vertices in graphs can be grouped through domatic partitions.

Examining the FTX collapse and its impact on cryptocurrency interactions.

Exploring star-critical Ramsey numbers and their implications in graph coloring.

Explore the fascinating world of random graphs and their applications in various fields.

New methods tackle slow computers in cloud systems for better results.

Optimizing resource allocation through decentralized strategies while managing coupled constraints.

Explore the importance of triangles and bowties in graph theory applications.

A new method improves the computation of large sparse matrix null spaces.