Global ETD Search
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Showing 1 to 3 of 3 for “"Parallel graph algorithms"”.
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A high-performance framework for analyzing massive complex networks
Graphs are a fundamental and widely-used abstraction for representing data. We can analytically study interesting aspects of real-world complex systems such as the Internet, social systems, transportation networks, and biological interaction data by modeling them as graphs. Graph-theoretic and …
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A framework for large-scale dynamic social network analysis with application to key actor analysis
Over the past decade, the availability of large and dynamic data sources from diverse domains including business, healthcare, and social media has significantly increased. Most of these data sources consist of rich information about actors' social roles, behavioral traits, and interactions which …