- class brainpy.connect.ScaleFreeBA(m, directed=False, seed=None, **kwargs)#
Build a random graph according to the Barabási–Albert preferential attachment model.
A graph of \(num\_node\) nodes is grown by attaching new nodes each with \(m\) edges that are preferentially attached to existing nodes with high degree.
m (int) – Number of edges to attach from a new node to existing nodes
seed (integer, random_state, or None (default)) – Indicator of random number generation state.
ConnectorError – If m does not satisfy
1 <= m < n.
Build a binary matrix connection data.
If users want to customize their connections, please provide one of the following functions:
build_mat(): build a matrix binary connection matrix.
build_csr(): build a csr sparse connection data.
build_coo(): build a coo sparse connection data.
conn – A binary matrix with the shape
- Return type: