Abstract: Statistical graphs, as visual representations of quantitative data, are usually not able to be processed by assistive technologies. Thus, when a user with visual impairment intends to access ...

We consider sequences of graphs (Gn) and define various notions of convergence related to these sequences including “left convergence,” defined in terms of the densities of homomorphisms from small ...

The statistical physics of graphs and partition functions represents a vibrant intersection of graph theory, statistical mechanics and computational complexity. By summing over an ensemble of ...

Abstract: Graphs are commonly used in various applications such as online social networks (OSNs), E-commerce systems and social recommender systems. Random walk sampling is often used to conduct ...

Statistical physics, provided powerful insights into the theory of combinatorial structures and algorithms. For example, the success of certain counting algorithms is well known to be linked with the ...

This repository provides examples of topology-inspired statistical inference using Betti-0 curves proposed in the article Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using ...

From the bar graph above, the main points are: Each bar has its own label on the horizontal axis There is a scale on the vertical axis The bars are of equal width ...