silenthunter/snap-graph
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SNAP: Small-world Network Analysis and Partitioning version 0.4 SNAP (Small-world Network Analysis and Partitioning) is an extensible parallel framework for exploratory analysis and partitioning of large-scale networks. SNAP is implemented in C, uses OpenMP primitives for parallelization, and targets sequential, multicore, and symmetric multiprocessor platforms. Our intent with SNAP is to provide a simple and intuitive interface for network analysis and application design, hiding the parallel programming complexity from the user. In addition to path-based, centrality, and community identification queries on large-scale graphs, we support commonly-used preprocessing kernels and quantitative measures that help understand the global network topology. Please refer to the SNAP user guide (http://snap-graph.sourceforge.net/snap_user_guide.pdf) for installation instructions.
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