Results 41 to 50 of about 1,238,875 (302)

A Pipe Ranking Method for Water Distribution Network Resilience Assessment Based on Graph-Theory Metrics Aggregated Through Bayesian Belief Networks

open access: yesWater Resources Management, 2022
AbstractThe resilience assessment is crucial for many infrastructures, including water supply and distribution networks. In particular, the identification of the ‘critical’ components (nodes or pipes) whose failure may negatively affect network performances and system resilience is a key issue, with a direct relevance for decision-makers involved in ...
Pagano A., Giordano R., Portoghese I.
openaire   +3 more sources

Perfect Matchings, Rank of Connection Tensors and Graph Homomorphisms [PDF]

open access: yesACM-SIAM Symposium on Discrete Algorithms, 2019
We develop a theory of graph algebras over general fields. This is modelled after the theory developed by Freedman et al. (2007, J. Amer. Math. Soc.20 37–51) for connection matrices, in the study of graph homomorphism functions over real edge weight ...
Jin-Yi Cai, A. Govorov
semanticscholar   +1 more source

Fibers add flavor. Part I. Classification of 5d SCFTs, flavor symmetries and BPS states

open access: yesJournal of High Energy Physics, 2019
We propose a graph-based approach to 5d superconformal field theories (SCFTs) based on their realization as M-theory compactifications on singular elliptic Calabi-Yau threefolds.
Fabio Apruzzi   +4 more
doaj   +1 more source

A framework for evaluating statistical dependencies and rank correlations in power law graphs [PDF]

open access: yes, 2008
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation.
Litvak, N., Volkovich, Y.V., Zwart, B.
core   +10 more sources

Group-Level Ranking-Based Hubness Analysis of Human Brain Connectome Reveals Significant Interhemispheric Asymmetry and Intraparcel Heterogeneities

open access: yesFrontiers in Neuroscience, 2021
Objective: Graph theory applications are commonly used in connectomics research to better understand connectivity architecture and characterize its role in cognition, behavior and disease conditions. One of the numerous open questions in the field is how
Sahin Hanalioglu   +9 more
doaj   +1 more source

Classical simulation versus universality in measurement based quantum computation [PDF]

open access: yes, 2006
We investigate for which resource states an efficient classical simulation of measurement based quantum computation is possible. We show that the Schmidt--rank width, a measure recently introduced to assess universality of resource states, plays a ...
Briegel, H. J.   +3 more
core   +2 more sources

A new approach for ranking decision-making units in data envelopment analysis by using communication game theory [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization
Ranking decision making units (DMUs) is an important topic in data en-velopment analysis (DEA). When efficient DMUs or inefficient DMUs have the same efficiency score, the traditional DEA model usually fails to rank all DMUs.
M. Amiri, A. Ashrafi
doaj   +1 more source

Skew-products of higher-rank graphs and crossed products by semigroups [PDF]

open access: yes, 2013
We consider a free action of an Ore semigroup on a higher-rank graph, and the induced action by endomorphisms of the $C^*$-algebra of the graph. We show that the crossed product by this action is stably isomorphic to the $C^*$-algebra of a quotient graph.
Maloney, Ben, Pask, David, Raeburn, Iain
core   +3 more sources

Shapley ratings in brain networks

open access: yesFrontiers in Neuroinformatics, 2007
Recent applications of network theory to brain networks as well as the expanding empirical databases of brain architecture spawn an interest in novel techniques for analyzing connectivity patterns in the brain.
Rolf Kötter   +7 more
doaj   +1 more source

Three topological features of regulatory networks control life-essential and specialized subsystems

open access: yesScientific Reports, 2021
Gene regulatory networks (GRNs) play key roles in development, phenotype plasticity, and evolution. Although graph theory has been used to explore GRNs, associations amongst topological features, transcription factors (TFs), and systems essentiality are ...
Ivan Rodrigo Wolf   +2 more
doaj   +1 more source

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