Results 21 to 30 of about 577,453 (293)
Study of Information Dissemination in Hypernetworks with Adjustable Clustering Coefficient
The structure of a model has an important impact on information dissemination. Many information models of hypernetworks have been proposed in recent years, in which nodes and hyperedges represent the individuals and the relationships between the ...
Pengyue Li +4 more
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Relative Clustering Coefficient
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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A Novel Centrality of Influential Nodes Identification in Complex Networks
Influential nodes identification in complex networks is vital for understanding and controlling the propagation process in complex networks. Some existing centrality measures ignore the impacts of neighbor node.
Yuanzhi Yang +4 more
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Mental workload has been widely estimated based on electroencephalography (EEG) in the frequency domain. However, simple frequency features are not entirely accurate indicators of the cognitive load because surface EEG signals are weak, nonstationary and
Guohun Zhu +4 more
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Cluster algebras IV: Coefficients [PDF]
59 pages, 9 tables; minor editorial changes.
Fomin, Sergey, Zelevinsky, Andrei
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Evolutionary aspect of protein sequence network based on the 2D representation of amino acids [PDF]
For the comparative analysis of proteins, their proper clustering, and evolutionary relationships require analysis of their sequences. We used a mathematical parameter termed a similar factor to create a similar degree matrix of ND6 protein sequences ...
Sanjay Sharma +2 more
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We aimed to evaluate diffusion tensor imaging (DTI) in infants born extremely preterm, to determine the effect of erythropoietin (Epo) on DTI, and to correlate DTI with neurodevelopmental outcomes at 2 years of age for infants in the Preterm ...
Janessa B. Law +7 more
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Clustered spatio‐temporal varying coefficient regression model [PDF]
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
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Influence of clustering coefficient on network embedding in link prediction
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
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Clustering drives cooperation on reputation networks, all else fixed
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
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