Latest Articles for Network Theory

Chygraphs help analyze complex network connections effectively.

Study examines how network shapes influence disease transmission and outbreak control.

This study focuses on finding dense subgraphs in dynamic networks.

This study explores how to better analyze evolving data through hypergraphs.

Exploring how random movements lead to significant changes in behavior.

Learn how centrality measures help reveal the importance of nodes in networks.

Explore how threshold networks influence individual interactions through signed graphs.

This article examines bootstrap percolation in cyclical graphs and its implications.

A study on breaking Eulerian graphs into manageable circuits.

A new method addresses challenges in network reconstruction using time series data.

A new model enhances detection of cohesive groups in complex networks.

Exploring how random colors affect cluster formation and system behavior.

Exploring the Generalized Power Iteration algorithm for network connectivity.

A look into network data analysis and key metrics like the Randić index.

A novel method using information theory to identify communities in hypergraphs.

A look into group theory concepts like exponentiation and automata.

Learn how bipartite treewidth aids in solving complex graph problems efficiently.

A study on spanning subgraphs within hypergraphs focusing on minimum degree conditions.

This study examines graph decompositions and their applications in various fields.

Exploring eigenvalues in simplicial complexes reveals new patterns and insights.

A look into how networks synchronize and interact across various fields.

Study how small changes lead to major shifts in system behavior.

A look into how connectivity changes in networks through percolation theory.

A new model enhances how networks gain connections over time.

Exploring how rule-breakers affect unity and division in social networks.

Exploring how percolation affects flow in various systems, from water to disease spread.

Investigating the role of remote regions in network dynamics and their influence.

A deep look into the principles governing random processes and their implications.

Analyzing how changing community states impact network behavior and connectivity.

A look into hypergraphs, their properties, and applications in various fields.

Research extends the applications of matroids and polynomials in complex graph structures.

Learn how controllability backbone aids in managing networked agents effectively.

Exploring the behavior of topological phases under percolation conditions.

This article discusses methods to recover lost information in hypergraphs from simpler graph representations.

An analysis of NVAR models and their impact on understanding variable relationships.

A study of how past movements influence future paths in various fields.

Introducing a new method for faster network analysis and reconstruction.

This article studies maximal cliques across various random network models.

Recent improvements in k-Clique algorithms enhance efficiency in identifying connected groups.

Exploring the random cluster model in networks and its implications.