Results 11 to 20 of about 572,176 (269)
Efficient computation of the Weighted Clustering Coefficient [PDF]
Internet Mathematics, 2016 The clustering coefficient of an unweighted network has been extensively used to quantify how tightly connected is the neighbor around a node and it has been widely adopted for assessing the quality of nodes in a social network.
Lattanzi, Silvio, Leonardi, Stefano
core +4 more sources
A Cluster Character with Coefficients for Cluster Category [PDF]
Algebras and Representation Theory, 2021 18 ...
Fernando Borges, Tanise Carnieri Pierin
openaire +2 more sources
Clustering Coefficients for Correlation Networks [PDF]
Frontiers in Neuroinformatics, 2018 5 figures, 2 tables; abstract is made shorter than in the journal version due to the length ...
Naoki Masuda +4 more
openaire +7 more sources
Spatially clustered varying coefficient model
Journal of Multivariate Analysis, 2022 59 pages, 5 ...
Fangzheng Lin +3 more
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Critical exponents from cluster coefficients [PDF]
Physical Review E, 2009 11 pages, 6 figures, submitted to ...
Rotman, Z., Eisenberg, E.
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Relative Clustering Coefficient
, 2021 In this paper, we relatively extend the definition of global clustering coefficient to another clustering, which we call it relative clustering coefficient. The idea of this definition is to ignore the edges in the network that the probability of having an edge is 0.
Farahbakhsh Touli, Elena +1 more
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Cluster algebras IV: Coefficients [PDF]
Compositio Mathematica, 2007 59 pages, 9 tables; minor editorial changes.
Fomin, Sergey, Zelevinsky, Andrei
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Clustered spatio‐temporal varying coefficient regression model [PDF]
Statistics in Medicine, 2020 In regression analysis for spatio‐temporal data, identifying clusters of spatial units over time in a regression coefficient could provide insight into the unique relationship between a response and covariates in certain subdomains of space and time windows relative to the background in other parts of the spatial domain and the time period of interest.
Junho Lee +3 more
openaire +3 more sources
Influence of clustering coefficient on network embedding in link prediction
Applied Network Science, 2022 Multiple network embedding algorithms have been proposed to perform the prediction of missing or future links in complex networks. However, we lack the understanding of how network topology affects their performance, or which algorithms are more likely ...
Omar F. Robledo +3 more
doaj +1 more source
Clustering drives cooperation on reputation networks, all else fixed
Royal Society Open Science, 2023 Reputation-based cooperation on social networks offers a causal mechanism between graph properties and social trust. Using a simple model, this paper demonstrates the underlying mechanism in a way that is accessible to scientists not specializing in ...
Tamas David-Barrett
doaj +1 more source