When a Graph Represent a Flow Network where every edge has a capacity. Also given that two vertices, source 's' and sink 't' in the graph, we can find the maximum possible flow from s to t with having ...

This paper presents a graph theory based network flow method that can be used to determine the best possible power flow in strategic power lines with optimal losses and transfer capacity. The proposed ...

The development of graph-tools started in 2007, which was initially an extension to Graph module in CPAN (Comprehensive Perl Archive Network) by Jarkko Hietaniemi. Our Perl module has been called ...

Methods: We quantified the directed information flow using partial directed coherence (PDC) and the topological networks by graph theory measures at four frequency bands (delta, theta, alpha, and beta ...

We describe a two-stage robust optimization approach for solving network flow and design problems with uncertain demand. In two-stage network optimization, one defers a subset of the flow decisions ...

By applying graph theory, network analysis visualizes data as networks of interconnected nodes, allowing for the identification of patterns, central nodes, and key influencers.

We determined graph-theory metrics of rsfMRI network connectivity in individuals with OCD prior to and following 4 weeks of intensive CBT. We then followed individuals for up to 12 months post ...

Conservation Biology, Vol. 22, No. 2 (Apr., 2008), pp. 297-307 (11 pages) Connectivity of habitat patches is thought to be important for movement of genes, individuals, populations, and species over ...