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complex-networks

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BrandonKMLee
BrandonKMLee commented Jul 14, 2021

Discussed in networkx/networkx#4918 and Hinted in networkx/networkx#5062

There are Four Centrality Measures not found in NetworkX, Leverage Centrality, Bridging Centrality, Laplace Centrality, and Communicability. It would be useful if there are guides on including these into NetworkX.

def Leverage_Centrality(g):
    DegreeI
Enhancement Needs PR Good First Issue Sprint
cdlib
SalvatoreRa
SalvatoreRa commented May 16, 2022

Hi,

To plot the communities it is very easy with plot_network_clusters, however it is tedious to plot each network in a cell (for instance using Jupiter or google Colab). In networkx you can do since there is a hyperparameter ax on the function draw network. I checked the code here and I see that the function is based on Networkx plotting implementation, could be useful to just add the ax para

enhancement help wanted good first issue

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

  • Updated Jul 21, 2021
  • Python

Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo

  • Updated Jul 7, 2019
  • Jupyter Notebook
eriknw
eriknw commented May 21, 2022

I see no reason why these shouldn't exist in indexunary namespace. Any reason for their omission @jim22k?

Also, I noticed that select and indexunary are both directories with a single __init__.py. Unless we expect to put more files in these (such as numpy.py), I would change these to select.py and indexunary.py.

enhancement good first issue feature good second issue

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