Latest Articles for Network Analysis

Explore the intricacies of reachability in temporal graphs and their unique challenges.

A new model simplifies analysis of multilayer networks with diverse data types.

A look into how ideas and behaviors move through various network structures.

Exploring backdoor attacks and graph reduction methods in GNNs.

Examining the parallels between argumentation theory and biological network models.

Learn how information travels through networks based on specific rules and symbols.

A method for estimating community memberships while protecting individual privacy.

A study on the importance of central nodes in network systems.

Explore the fundamental concepts and applications of graph theory in various fields.

A fresh approach enhances community detection in sparse and imbalanced networks.

This article discusses the significance of crossing numbers and ratios in graph theory.

A look into the structure and properties of random geometric graphs.

Explore the complexities of counting induced subgraphs in various graph properties.

Examining the role of triangles in graph structures and their implications.

Exploring the patterns within locally dense graphs and their implications.

This article explores community detection and mutual information in networks.

A look into how relationships shape social groups and interactions.

A look into independent sets and their significance in graph theory.

This article discusses the challenges and solutions in Graph Neural Networks.

A look at disk graphs and their role in complex networks.

A novel method to improve Bayesian network structure using multiple language models.

Examining how infections traverse through high-dimensional geometric graphs.

An examination of location-domination in subcubic graphs and its conjectures.

Examining how groups work together in structured environments.

A novel benchmark to evaluate graph learning methods tackling heterophily and heterogeneity.

Examining how network clustering influences efficiency in decentralized systems.

A new framework improves community detection through higher-order fuzzy memberships.

Explore how the stochastic block model helps identify communities in networks.

A look into the properties and applications of distance matrices in trees.

An exploration of matchings in random graphs and their implications.

A method to enhance community detection in complex networks by classifying nodes.

This article explores interactions in directed networks, focusing on reciprocity and frustration.

Explore how the closed neighborhood corona product shapes graph relationships and properties.

A novel method enhances discovery of dense areas in complex graphs.

A new algorithm enhances hyperbolic embeddings for better hierarchical data representation.

Explore how transit functions reveal relationships in directed graphs and networks.

Examining privacy threats linked to social connections in digital spaces.

Innovative methods enhance website identification through network traffic analysis.

New framework allows for efficient removal of sensitive data from Graph Neural Networks.

Explore the significance and properties of degree-similar graphs in various applications.