Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

meierlab.networks.graph.gen_basic_metrics#

meierlab.networks.graph.gen_basic_metrics(G)[source]#

Assign some basic graph theory metrics to nodes in a graph.

Parameters:

Gnetworkx.Graph: Graph to calculate metrics for.

Returns:

networkx.Graph: Graph with ‘degree’, ‘betweenness’, and ‘eigenvector’ centrality attributes added to nodes.

Examples

>>> import networkx as nx
>>> from meierlab.networks import graph
>>> atlas = 'schaefer2018/atlas.csv'
>>> sub_file = 'sub-001.tsv'
>>> G = graph.gen_base_graph_from_atlas(atlas)
>>> g = graph.gen_graph_from_matrix(G,atlas,sub_file)
>>> g = graph.gen_basic_metrics(g)
>>> eigenvectors = nx.get_node_attributes(g,'eigenvector')
>>> print(eigenvectors['RH_Default_Temp_8'])
0.1889822365046136