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Python modules to analyze citation and collaboration networks. Builds on graph-tool.

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#scientometric-graph-tool v0.1
#by Rene Pfitzner
#mail: [email protected]
#August/September 2013

>What is scientometric-graph-tool?<

scientometric-graph-tool is a bundle of python libraries to deal with "scientometric" networks, i.e. citation networks and collaboration networks. Especially, scientometric-graph-tool allows you to take a multiplex perspective on these networks, i.e. to analyze them in connection with each other rather than as separate entities.

>Tell me more about it!<

As citation and collaboration networks tend to be huge in size, it is essential to have scalable code. Whereas libraries like igraph or networkx are fairly extensive concerning the already build-in functions to analyze networks, scalability is always an issue. However, a more novel network library, graph-tool by Tiago Peixoto (http://projects.skewed.de/graph-tool/), provides a fast, memory-efficient, highly scalable and versatile framework for network analysis. Hence, scientometric-graph-tool builds on graph-tool.

>What do I need?<

To be able to use scientometric-graph-tool you will need a working python2.7 installation as well as graph-tool. To get python, please refer to www.python.org, to get graph-tool, please refer to the project homepage http://projects.skewed.de/graph-tool/.


>Cool, so where can I find more information?<

On the project homepage: http://github.com/prene/scientometric-graph-tool 
I will try to keep a wiki to have the code fully documented. If I fail in this endeavor, please do not hesitate to contact me at [email protected].

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