Results 71 to 80 of about 55,464 (281)
Modular design of data-parallel graph algorithms [PDF]
, 2013 Amorphous Data Parallelism has proven to be a suitable vehicle for implementing concurrent graph algorithms effectively on multi-core architectures.
Christianson, B. +2 more
core +1 more source
Autism Research, EarlyView.ABSTRACT Autism Spectrum Disorder (ASD) is associated with altered interoception, empathy, self‐awareness, and alexithymia. However, limited research has been conducted to investigate the interrelationships of these constructs with psychopathological symptoms.
Antonio Kei‐Fung Shek +10 more
wiley +1 more source
Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking
IEEE AccessIn complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the ...
Mondikathi Chiranjeevi +4 more
doaj +1 more source
Numerical Investigation of Metrics for Epidemic Processes on Graphs
, 2015 This study develops the epidemic hitting time (EHT) metric on graphs measuring the expected time an epidemic starting at node $a$ in a fully susceptible network takes to propagate and reach node $b$.
Albin, Nathan +4 more
core +1 more source
Young people's occupational aspirations beyond the aspiration discourse: A sociocultural perspective
British Educational Research Journal, EarlyView.Abstract Young people's aspirations have been the focus of many educational, sociological and psychological studies. This paper argues, firstly, that the concept of aspirations holds greater generative potential than suggested by the policy‐oriented ‘aspiration discourse’.
Jelena Popov
wiley +1 more source
Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networks. [PDF]
PLoS ONE, 2013 A number of centrality measures are available to determine the relative importance of a node in a complex network, and betweenness is prominent among them.
Mahendra Piraveenan +2 more
doaj +1 more source
Predicting Scientific Success Based on Coauthorship Networks [PDF]
, 2014 We address the question to what extent the success of scientific articles is due to social influence. Analyzing a data set of over 100000 publications from the field of Computer Science, we study how centrality in the coauthorship network differs between
Garas, Antonios +4 more
core +1 more source
Betweenness Centrality in Graphs
, 2014 The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques ...
Gago Álvarez, Silvia +2 more
openaire +4 more sources
Biological Reviews, EarlyView.ABSTRACT Effective knowledge of ecological connectivity at sea and at the land–sea interface is key to supporting global policy goals to conserve and restore ocean biodiversity and function. However, a persistent lack of commonality in terminology and understanding around the concept of connectivity in marine ecological studies hampers its integration ...
Audrey M. Darnaude +20 more
wiley +1 more source
Towards identifying influential nodes in complex networks using semi-local centrality metrics
Journal of King Saud University: Computer and Information Sciences, 2023 The influence of the node refers to the ability of the node to disseminate information. The faster and wider the node spreads, the greater its influence. There are many classical topological metrics that can be used to evaluate the influencing ability of
Kun Zhang +5 more
doaj +1 more source