netsci 0.0.1

Analyzing Complex Networks with Python

netsci

Analyzing Complex Networks with Python

Author	Version	Demo
Gialdetti

netsci is a python package for efficient statistical analysis of spatially-embedded networks. In addition, it offers efficient implementations of motif counting algorithms. For other models and metrics, we highly recommend using existing and richer tools. Noteworthy packages are the magnificent NetworkX, graph-tool or Brain Connectivity Toolbox.

Simple example

Analyzing a star network (of four nodes)

>>> import numpy as np
>>> import netsci.visualization as nsv
>>> A = np.array([[0,1,1,1], [0,0,0,0], [0,0,0,0], [0,0,0,0]])
>>> nsv.plot_directed_network(A, pos=[[0,0],[-1,1],[1,1],[0,-np.sqrt(2)]])

>>> import netsci.metrics.motifs as nsm
>>> f = nsm.motifs(A, algorithm='brute-force')
>>> print(f)
[1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0]

>>> nsv.bar_motifs(f)

Testing

After installation, you can launch the test suite:

$ pytest