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Betweenness centrality on GPUs and heterogeneous architectures
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, 2013The betweenness centrality metric has always been intriguing for graph analyses and used in various applications. Yet, it is one of the most computationally expensive kernels in graph mining. In this work, we investigate a set of techniques to make the betweenness centrality computations faster on GPUs as well as on heterogeneous CPU/GPU architectures.
Ahmet Erdem Sariyüce +3 more
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Process-Driven Betweenness Centrality Measures
2018In network analysis, it is often desired to determine the most central node of a network, for example, for identifying the most influential individual in a social network. Borgatti states that almost all centrality measures assume that there exists a process moving through the network from node to node (Borgatti, Soc Netw 27(1):55–71, 2005).
Mareike Bockholt, Katharina A. Zweig
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The Mediterranean Between Centrality and Resilience
The Mediterranean has had alternating phases of geopolitical importance in history. After the pandemic and the Russian-Ukrainian crisis, its role as a basin of intra-regional relations has become even more important in allowing the states bordering it to establish a system of relations capable of making up for the crisis in mid-oceanic flows. Reshoringopenaire +2 more sources
On variants of shortest-path betweenness centrality and their generic computation
Social Networks, 2008Ulrik Brandes
exaly
Identifying high betweenness centrality nodes in large social networks
Social Network Analysis and Mining, 2012Nicolas Kourtellis +2 more
exaly
Finding groups with maximum betweenness centrality
Optimization Methods and Software, 2017Alexander Veremyev +2 more
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Efficient algorithms for game-theoretic betweenness centrality
Artificial Intelligence, 2016Tomasz Michalak, Talal Rahwan
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Improving the Betweenness Centrality of a Node by Adding Links
Journal of Experimental Algorithmics, 2018Gianlorenzo D'Angelo +2 more
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Efficient algorithms for updating betweenness centrality in fully dynamic graphs
Information Sciences, 2016Min-Joong Lee +2 more
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