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Resource:Small-world Network Analysis and Partitioning

Name: Resource:Small-world Network Analysis and Partitioning
Description:

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. The latest version of SNAP (0.4) was released in August 2010.
Sponsors: This work was supported in part by NSF Grants CAREER CCF-0611589, NSF DBI-0420513, ITR EF/BIO 03-31654, IBM Faculty Fellowship and Microsoft Research grants, NASA grant NP-2005-07-375-HQ, and DARPA Contract NBCH30390004.

Keywords: network, analysis, software, graph, traversal, betweenness centrality, community, identification, multicore,
Other Name(s): SNAP
Parent Organization: Georgia Institute of Technology; Georgia; USA
Resource Type(s): Data processing software
Resource: Resource
URL: http://snap-graph.sourceforge.net
*Id: nif-0000-00425
Link to OWL / RDF: Download this content as OWL/RDF

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Facts about Resource:Small-world Network Analysis and PartitioningRDF feed
DefiningCitationhttp://snap-graph.sourceforge.net  +
Definition

SNAP (Small-world Network Analysis
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. The latest version of SNAP (0.4) was released in August 2010.
Sponsors: This work was supported in part by NSF Grants CAREER CCF-0611589, NSF DBI-0420513, ITR EF/BIO 03-31654, IBM Faculty Fellowship and Microsoft Research grants, NASA grant NP-2005-07-375-HQ, and DARPA Contract NBCH30390004.

Keywords: network, analysis, software, graph, traversal, betweenness centrality, community, identification, multicore,
ommunity, identification, multicore,
Has default formThis property is a special property in this wiki.Resource  +
Has roleData processing software  +
Idnif-0000-00425  +
Is part ofGeorgia Institute of Technology; Georgia; USA  +
LabelResource:Small-world Network Analysis and Partitioning  +
ModifiedDate22 June 2013  +
Page has default formThis property is a special property in this wiki.Resource  +
SuperCategoryResource  +
SynonymSNAP  +