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Condition-specific neural signatures of reactivation during post-retrieval rest: An EEG study. [PDF]
Bavassi L +8 more
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Social networks as pathways of political mobility in Portuguese governments. [PDF]
Borges R +3 more
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Fine-Scale Landscape Genomics Show Asymmetric Patterns of Gene Flow for the Invasive Mosquito <i>Aedes albopictus</i>. [PDF]
Ding JY +3 more
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The delta-betweenness centrality
2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2013In this paper we consider the extension of the betweenness centrality measure which is used in social and computer communication networks to estimate the potential monitoring and control capabilities a node may have on data flowing in the network.
Alexander Plutov, Michael Segal 0001
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Routing betweenness centrality
Journal of the ACM, 2010Betweenness-Centrality measure is often used in social and computer communication networks to estimate the potential monitoring and control capabilities a vertex may have on data flowing in the network. In this article, we define the Routing Betweenness Centrality (RBC) measure that generalizes previously well known Betweenness measures such as the ...
Shlomi Dolev, Yuval Elovici, Rami Puzis
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Maintaining the duality of closeness and betweenness centrality [PDF]
Abstract Betweenness centrality is generally regarded as a measure of others’ dependence on a given node, and therefore as a measure of potential control. Closeness centrality is usually interpreted either as a measure of access efficiency or of independence from potential control by intermediaries.
Ulrik Brandes +2 more
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Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming, 2013
Betweenness centrality is an important metric in the study of social networks, and several algorithms for computing this metric exist in the literature. This paper makes three contributions. First, we show that the problem of computing betweenness centrality can be formulated abstractly in terms of a small set of operators
Dimitrios Prountzos, Keshav Pingali
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Betweenness centrality is an important metric in the study of social networks, and several algorithms for computing this metric exist in the literature. This paper makes three contributions. First, we show that the problem of computing betweenness centrality can be formulated abstractly in terms of a small set of operators
Dimitrios Prountzos, Keshav Pingali
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Distributed estimation of betweenness centrality
2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015Betweenness centrality is a fundamental centrality measure that quantifies how important a node or an edge is, within a network, based on how often it lies on the shortest paths between all pairs of nodes. In this paper, we develop a scalable distributed algorithm, which enables every node in a network to estimate its own betweenness and the ...
Wei Wang 0069, Choon Yik Tang
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Approximating Betweenness Centrality
2007Betweenness is a centrality measure based on shortest paths, widely used in complex network analysis. It is computationally-expensive to exactly determine betweenness; currently the fastest-known algorithm by Brandes requires O(nm) time for unweighted graphs and O(nm + n2 log n) time for weighted graphs, where n is the number of vertices and m is the ...
David A. Bader +3 more
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On the distribution of betweenness centrality in random trees
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Stephan Wagner
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