π Multilayer Networks Library for Python (Pymnet)ΒΆ
http://www.mkivela.com/pymnet/
The libarary is based on the general definition of multilayer networks presented in a review article. Multilayer networks can be used to represent various types network generalizations found in the literature. For example, multiplex networks, temporal networks, networks of networks, and interdependent networks are all types of multilayer networks. The library supports even more general types of networks with multiple aspects such that the networks can for example have both temporal and multiplex aspect at the same time.
The visualization on the left is produced with the library. See the Visualizing networks tutorial (http://www.mkivela.com/pymnet/visualizing.html#visualization-tutorial) for instructions how to your own network data with the library!
http://www.mkivela.com/pymnet/
The libarary is based on the general definition of multilayer networks presented in a review article. Multilayer networks can be used to represent various types network generalizations found in the literature. For example, multiplex networks, temporal networks, networks of networks, and interdependent networks are all types of multilayer networks. The library supports even more general types of networks with multiple aspects such that the networks can for example have both temporal and multiplex aspect at the same time.
The visualization on the left is produced with the library. See the Visualizing networks tutorial (http://www.mkivela.com/pymnet/visualizing.html#visualization-tutorial) for instructions how to your own network data with the library!
π’We are happy to announce #NETHIKE2022, the first edition of a summer school on #methods in social network research. It covers the #analysis, #modeling, #visualization of networks. And great food and hikes.π©βπποΈποΈπ¨ππApply by 25 April. More info here: https://t.co/nlugPbN3Pc