NetComp is a Python library implementing various algorithms for comparison of networks. A network is a collection of nodes and edges, also known as a graph.
To install NetComp, do
pip install netcomp
Although many common packages, such as NetworkX treat graphs as fundamental objects, this package treats the adjacency matrix as the object of interest. In this usage example, we will use NetworkX to generate our graphs, then transform them to adjacency matrices before using NetComp
>> import networkx as nx
>> import netcomp as nc
>> G1,G2 = [nx.erdos_renyi_graph(10,1/2) for _ in range(2)] # 2 random graphs
>> A1,A2 = [nx.adjacency_matrix(G) for G in [G1,G2]]
>> nc.lambda_dist(A1,A2,kind='laplacian',k=10)
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request 👍
For more details on current status and upcoming improvements, see STATUS.md.
Version 0.1 (2017-09-25) - Slow algorithms in place.
Version 0.2 (2017-10-13) - Sparse matrix support added.
Author: Peter Wills (peter.e.wills@gmail.com)
The MIT License (MIT)
Copyright (c) 2017 Peter Wills
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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