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Centrality metrics and line-graph to measure the importance of links in online social networks
(2016)
Importance of nodes and tie strength are necessary elements to characterize and analyze networks, as well as to study the processes that occur in their interior. We believe that it is also necessary to know the importance ...
New dynamic metric indices for secondary memory
(Pergamon-Elsevier Science, 2016)
Metric indices support efficient similarity searches in metric spaces. This problem is central to many applications, including multimedia databases and repositories handling complex objects. Most metric indices are designed ...
Metrics to estimate differential co-expression networks
(BioMed Central, 2017-11-10)
Abstract Background Detecting the differences in gene expression data is important for understanding the underlying molecular mechanisms. Although the differentially expressed genes are a large component, differences in ...
Connes' metric for states in group algebras
(Unión Matemática Argentina, 2003-12)
We follow the main idea of A. Connes for the construction of a metric in the state space of a C*-algebra. We focus in the reduced algebra of a discrete group Г, and prove some equivalences and relations between two central ...
Metric-Space Approach for Distinguishing Quantum Phase Transitions in Spin-Imbalanced Systems
(Springer, 2018-10-01)
Metric spaces are characterized by distances between pairs of elements. Systems that are physically similar are expected to present smaller distances (between their densities, wave functions, and potentials) than systems ...
Multivariate bibliometric analysis of scientific production indicators: a taxonomy of countries scientific degree of centrality
(Univ Politecnica Valencia, 2016-01-01)
Do historical metrics and developers communication aid to predict change couplings?
(2015-06-01)
Developers have contributed to open-source projects by forking the code and submitting pull requests. Once a pull request is submitted, interested parties can review the set of changes, discuss potential modifications, and ...
Adaptive matrix metrics for molecular descriptor assessment in QSPR classification
(Chemistry Central, 2010-03)
QSPR methods represent a useful approach in the drug discovery process, since they allow to predict in advance biological or physicochemical properties of a candidate drug. For this goal, it is necessary that the QSPR ...
Metrics to estimate differential co-expression networks
(BioMed Central, 2017)