NetMiner: Difference between revisions
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== netminer wiki page == |
== netminer wiki page == |
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What is NetMiner ? |
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NetMiner is a software tool for exploratory analysis and visualization of large network data. |
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NetMiner 4 embed internal Python-based script engine which equipped with the automatic Script Generator for unskilled users. |
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Then the users can operate NetMiner 4 with existing GUI or programmable script language. |
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test |
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Main features include : |
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* Analysis of large networks(+10,000,000 nodes) |
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* Comprehensive network measures and models |
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* Both exploratory & confirmatory analysis |
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* Interactive visual analyticsGoogle's Analytics program |
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* What-if network analysis |
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* Built-in statistical procedures and charts |
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* Full documentation(1,000+ pages of User's Manual) |
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* Expressive network data model |
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* Facilities for data & workflow management |
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* Python-based Script workbench and user-friendliness |
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== netminer test page == |
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{{AFC submission|t||ts=20120702004752|u=Netminer|ns=5}} <!--- Important, do not remove this line before article has been created. ---> |
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Test for Creating page. |
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==References== |
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<!--- After listing your sources please cite them using inline citations and place them after the information they cite. Please see http://en.wikipedia.org/wiki/Wikipedia:REFB for instructions on how to add citations. ---> |
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Revision as of 01:40, 2 July 2012
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netminer wiki page
What is NetMiner ? NetMiner is a software tool for exploratory analysis and visualization of large network data. NetMiner 4 embed internal Python-based script engine which equipped with the automatic Script Generator for unskilled users. Then the users can operate NetMiner 4 with existing GUI or programmable script language.
Main features include :
- Analysis of large networks(+10,000,000 nodes)
- Comprehensive network measures and models
- Both exploratory & confirmatory analysis
- Interactive visual analyticsGoogle's Analytics program
- What-if network analysis
- Built-in statistical procedures and charts
- Full documentation(1,000+ pages of User's Manual)
- Expressive network data model
- Facilities for data & workflow management
- Python-based Script workbench and user-friendliness