Latest Articles for Network Theory

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.

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.