
New Approximation Algorithms for Forest Closeness Centrality – for Individual Vertices and Vertex Groups
The emergence of massive graph data sets requires fast mining algorithms...
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Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters – an Experimental Study
Many problems in scientific and engineering applications contain sparse ...
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GroupHarmonic and GroupCloseness Maximization – Approximation and Engineering
Centrality measures characterize important nodes in networks. Efficientl...
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Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis
The ubiquity of massive graph data sets in numerous applications require...
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HighQuality Hierarchical Process Mapping
Partitioning graphs into blocks of roughly equal size such that few edge...
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Local Search for Group Closeness Maximization on Big Graphs
In network analysis and graph mining, closeness centrality is a popular ...
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Group Centrality Maximization for Largescale Graphs
The study of vertex centrality measures is a key aspect of network analy...
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Scaling Betweenness Approximation to Billions of Edges by MPIbased Adaptive Sampling
Betweenness centrality is one of the most popular vertex centrality meas...
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Parallel Adaptive Sampling with almost no Synchronization
Approximation via sampling is a widespread technique whenever exact solu...
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Scalable Katz Ranking Computation in Large Static and Dynamic Graphs
Network analysis defines a number of centrality measures to identify the...
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Balanced kmeans for Parallel Geometric Partitioning
Mesh partitioning is an indispensable tool for efficient parallel numeri...
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Topologyinduced Enhancement of Mappings
In this paper we propose a new method to enhance a mapping μ(·) of a par...
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Updating Dynamic Random Hyperbolic Graphs in Sublinear Time
Generative network models play an important role in algorithm developmen...
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Mathematical Foundations of the GraphBLAS
The GraphBLAS standard (GraphBlas.org) is being developed to bring the p...
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Parallel Graph Partitioning for Complex Networks
Processing large complex networks like social networks or web graphs has...
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Henning Meyerhenke
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