词条 | NetworkX |
释义 |
| name = NetworkX | screenshot = Watts strogatz.svg | screenshot alt = A graph created with NetworkX | caption = A graph created with NetworkX | author = Aric Hagberg Pieter Swart Dan Schult | developer = Many others | released = {{Start date and age|2005|04|11|df=yes}}[1][2] | latest release version = 2.2[3] | latest release date = {{Start date and age|2018|09|19|df=yes}} | operating system = Cross-platform | programming language = Python | genre = Software library | license = BSD-new license | website = {{URL|networkx.github.io}} }} NetworkX is a Python library for studying graphs and networks. NetworkX is free software released under the BSD-new license. Features
SuitabilityNetworkX is suitable for operation on large real-world graphs: e.g., graphs in excess of 10 million nodes and 100 million edges.[4] Due to its dependence on a pure-Python "dictionary of dictionary" data structure, NetworkX is a reasonably efficient, very scalable, highly portable framework for network and social network analysis.[5] IntegrationNetworkX is integrated into SageMath.[6] See also{{Portal|Free and open-source software}}
References1. ^[https://mail.python.org/pipermail/python-announce-list/2005-April/003924.html NetworkX first public release (NX-0.2)], From: Aric Hagberg, Date: 12 April 2005, Python-announce-list mailing list 2. ^[https://web.archive.org/web/20050429205335/http://sourceforge.net:80/projects/networkx/ NetworkX initial release, NX-0.2], hagberg – 2005-04-11, Project Info – NetworkX, Registered: 2004-10-21, SourceForge.net 3. ^https://networkx.github.io/documentation/stable/release/release_2.2.html 4. ^Aric Hagberg, Drew Conway, [https://github.com/drewconway/NetworkX_Intro_Materials/blob/master/2-Why_Do_SNA_with_NX/module_II.pdf "Hacking social networks using the Python programming language (Module II – Why do SNA in NetworkX)"], Sunbelt 2010: International Network for Social Network Analysis. 5. ^Aric A. Hagberg, Daniel A. Schult, Pieter J. Swart, Exploring Network Structure, Dynamics, and Function using NetworkX, Proceedings of the 7th Python in Science conference (SciPy 2008), G. Varoquaux, T. Vaught, J. Millman (Eds.), pp. 11–15. 6. ^http://sagemath.org/links-components.html External links
4 : Free mathematics software|Free software programmed in Python|Graph drawing software|Numerical software |
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