software . 2021

NNGT 2.5.0: sparse clustered graphs and improved backend support

Tanguy Fardet;
Open Access English
  • Published: 18 Aug 2021
  • Publisher: Zenodo
Abstract
This new version adds support for NetworkX 2.6+, introduces a new network model, improves IO and plotting modules, and extends the list of functions that are supported by the default backend (if networkx, igraph, and graph-tool are not installed on the system). New features sparse_clustered: it is now possible to generate sparse graphs with a desired clustering coefficient, this comes with an associated rewiring scheme (f45d0a9b) support for GraphML file format (a9f8710d) support NetworkX 2.6+ (f4e5002e) Enhancements More efficient edge attribute access (speed and memory improvements, c8f29951) Improved plots (color and size support for nodes and edges, visible arrows for directed networks..., 7f5340b8 & ccdd627f) Add connectedness test with nngt default backend (d3979a15) Bugfixes Correct delete_edges for nngt backend that did not update the node degrees (b1ca08df).
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Subjects
free text keywords: nngt, neuron, network, graph, topology, python, nest, graph-tool, networkx, igraph
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ZENODO
Software . 2021
Providers: ZENODO
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