Latest Articles for Network Theory

A look into graph theory, focusing on edges, matchings, and structures.

Exploring how shapes connect in unique structures impacts various scientific fields.

Examining dynamics of Markov processes in complex networks for diverse applications.

Boolean hypernetworks enhance our grasp of gene interactions by addressing limitations of traditional models.

A new method for filtering data in expanding networks.

Explore the link between tree structures, diameter, and eigenvalues in mathematics.

A look into how curvature is calculated in discrete gravity and its applications.

Exploring pathways in directed hypercubes for efficient data transfer.

Research shows how diverse opinions can stabilize over time in social networks.

A new algorithm improves counting of temporal motifs in complex networks.

Exploring how simple rules create complex patterns in ECA networks.

Exploring key aspects of the 20-vertex model in statistical physics.

A look at how fixed networks form connections and their degree distributions.

A look into the relationships and characteristics of circular-arc and chordal graphs.

An overview of power graphs, their orientations, and implications in group theory.

Exploring the relationship between chromatic number and minimum degree in graphs.

Explore how directed acyclic graphs reveal relationships in complex networks.

Introducing a flexible method for simplifying network connections without fixed parameters.

A study of how opinions change over time in social groups.

Explore bistable elements and their impact on memory and computation.

Exploring the structure and behavior of automata networks in various fields.

Learn how to locate signal sources within complex networks.

A study of point connections and unique weights in geometric trees.

Explore how networks evolve using duplication-divergence models and divergence asymmetry.

Investigating the existence and features of strongly regular graphs.

Research explores how biases shape opinions in social networks.

Hypergraphs and diffusion wavelets offer deeper insights into complex data interactions.

Examining the role of random matrices in various fields through eigenvalue analysis.

Explore the relationships between digraphs, multipaths, and matroids.

A simple guide to graphs, nodes, edges, and distances in real life.

Exploring the significance of full network nonlocality in quantum systems.

Research reveals connections between information theory and random processes in discrete groups.

An overview of relaxed Gromov-Wasserstein distances and their applications.

Explore the dynamics of random graphs and their surprising connections.

Discover the unique balance between order and randomness in hyperuniform networks.

A new approach to enhance scores in player connection scenarios.

Improving analysis of complex networks through innovative matrix representation techniques.

Learn how graphs can be aligned using Degree Matrix Comparison techniques.

A guide to maintaining important links in a family tree despite missing members.

Explore how network structures influence the spread of ideas and diseases.