Results 71 to 80 of about 577,453 (293)
Novel Resistive Distance Descriptors on Complex Network
IEEE Access, 2022 Large-scale complex network data poses significant challenges for the analytic ideas and tools to monitor and analyze complex networks. As classical structure descriptors, average path length ( $L$ ), global and local network efficiency ( $E_{glob}$ and
Min Li +4 more
doaj +1 more source
Enhancement of cooperation in highly clustered scale-free networks
, 2008 We study the effect of clustering on the organization of cooperation, by analyzing the evolutionary dynamics of the Prisoner's Dilemma on scale-free networks with a tunable value of clustering.
A.-L. Barabási +5 more
core +1 more source
An algorithm for the direct reconstruction of the dark matter correlation function from weak lensing and galaxy clustering [PDF]
, 2010 The clustering of matter on cosmological scales is an essential probe for studying the physical origin and composition of our Universe. To date, most of the direct studies have focused on shear-shear weak lensing correlations, but it is also possible to ...
A. Refregier +12 more
core +1 more source
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Clustering files of chemical structures using the Szekely-Rizzo generalization of Ward's method [PDF]
, 2009 Ward's method is extensively used for clustering chemical structures represented by 2D fingerprints. This paper compares Ward clusterings of 14 datasets (containing between 278 and 4332 molecules) with those obtained using the Szekely–Rizzo clustering ...
Bureau, R. +3 more
core +1 more source
Spatial non-parametric Bayesian clustered coefficients
Scientific ReportsAbstractIn the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial. In this paper, we synthesise a number of existing methods to create a new approach that specifically addresses this goal.
Areed, Wala Draidi +4 more
openaire +5 more sources
Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Multistage Random Growing Small-World Networks with Power-law degree Distribution
, 2005 In this paper, a simply rule that generates scale-free networks with very large clustering coefficient and very small average distance is presented. These networks are called {\bf Multistage Random Growing Networks}(MRGN) as the adding process of a new ...
Chi L P +32 more
core +1 more source
Cluster algebras, invariant theory, and Kronecker coefficients I [PDF]
Advances in Mathematics, 2017 40 pages, 20 figures, comments are ...
openaire +5 more sources
Higher order clustering coefficients in Barabási–Albert networks [PDF]
Physica A: Statistical Mechanics and its Applications, 2002 Higher order clustering coefficients $C(x)$ are introduced for random networks. The coefficients express probabilities that the shortest distance between any two nearest neighbours of a certain vertex $i$ equals $x$, when one neglects all paths crossing the node $i$.
Fronczak, Agata +3 more
openaire +3 more sources