Stanford Network Analysis Project
- Owner: Mike Bobak
- Created on Oct 11, 2020
- blank blank
Description:
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which is a graphical front-end that integrates network analysis into Microsoft Office and Excel. The SNAP library is being actively developed since 2004 and is organically growing as a result of our research pursuits in analysis of large social and information networks. Largest network we analyzed so far using the library was the Microsoft Instant Messenger network from 2006 with 240 million nodes and 1.3 billion edges.The datasets available on the website were mostly collected (scraped) for the purposes of our research.The website was launched in July 2009. http://datadiscoverystudio.org/geoportal/rest/metadata/item/26e3ea4c55a94e8994f43c72689851fa/html
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Metadata
| Name | Value | Last Modified | |
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| @context |
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Extracted by http://clowder.ncsa.illinois.edu/extractors/deprecatedapi on Oct 11, 2020 |
Extracted by
http://clowder.ncsa.illinois.edu/extractors/deprecatedapi
on Oct 11, 2020
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@context:
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- @id: http://snap.stanford.edu/index.html
- @type: Dataset
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additionalType:
- geolink:Dataset
- vivo:Dataset
- citation: (2009), Stanford Network Analysis Project, http://snap.stanford.edu/index.html.
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creator:
- datePublished: 2009
- description: Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which is a graphical front-end that integrates network analysis into Microsoft Office and Excel. The SNAP library is being actively developed since 2004 and is organically growing as a result of our research pursuits in analysis of large social and information networks. Largest network we analyzed so far using the library was the Microsoft Instant Messenger network from 2006 with 240 million nodes and 1.3 billion edges.The datasets available on the website were mostly collected (scraped) for the purposes of our research.The website was launched in July 2009.
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distribution:
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- @id: http://snap.stanford.edu/index.html
- @type: DataDownload
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- url: http://snap.stanford.edu/index.html
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identifier:
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- url: http://snap.stanford.edu/index.html
- value: urn:http//snap.stanford.edu/index.html
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includedInDataCatalog:
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keywords:
- 11103 Communication Science
- 40902 Software Technology
- 111 Social Sciences
- 12 Social and Behavioural Sciences
- 1 Humanities and Social Sciences
- 409 Computer Science
- 44 Computer Science, Electrical and System Engineering
- 4 Engineering Sciences
- social networks
- information networks
- emails
- web graphs
- road networks
- internet networks
- citation networks
- collaboration networks
- communication networks
- restricted
- Analysis
- Scale
- SNAP
- Computer Science
- Graph
- Software
- Dataset
- Mine
- Road
- Stanford University
- National Science Foundation
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license:
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- @type: DigitalDocument
- description: useLimitation: Disclaimer - While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty..
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- name: Stanford Network Analysis Project
- publisher: publisher not specified
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| Last Modified: | Oct 11, 2020 03:02:10 |
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