NetworkX-Temporal: extending NetworkX to dynamic graphs

[Nelson Aloysio]

Dear all,

I'm sharing this here in hope that it may be useful to others in the community.

NetworkX-Temporal is a new package published on PyPI, released under the BSD license.

It works by inheriting and extending NetworkX to dynamic graphs, with minimal overhead.

The code is open source, with fairly complete documentation, and is also available on GitHub.

As a newly published package, there is surely a lot of room for improvement.

Any contributions and feedback are, of course, absolutely welcome!

Best,

Nelson

[Eric BEAUSSART]

Hello Dear All !
About Dynamics and then Time, we ca say : No "Events", no Time ! So, "Events" can range from the "Geological crisis" to a front of a Cadmium Laser wave (for measure of fento seconds) !
And there are two kinds of Graph specially about Time : "States" (periods of stability ?) and "Transitions" (between states) ...
But, unfortunately, there are very long periods of "slow transitional changes" and very short "periods" of a "Characteristic "state"" of feature !
So, any good representation of "Dynamics" should deal with this problem !
Best regards.
E. B.

envoyé : 29 septembre 2024 à 16:34
de : Nelson Aloysio <nelso...@phd.unipi.it>
à : networkx-discuss <networkx...@googlegroups.com>
objet : [networkx-discuss] NetworkX-Temporal: extending NetworkX to dynamic graphs

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