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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-04 10:45:44 -0500 |
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| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-04 10:45:44 -0500 |
| commit | 659f9b4d612dcf5d7e9eed98640be32baa1d108f (patch) | |
| tree | 5b990e1412603b9bad6c8d897c307b952bb6c23f /src/cascade_creation.py | |
| parent | b6be39f8c985a46ae6a1b777a82ae80ab1a02528 (diff) | |
| download | cascades-659f9b4d612dcf5d7e9eed98640be32baa1d108f.tar.gz | |
some minor changes
Diffstat (limited to 'src/cascade_creation.py')
| -rw-r--r-- | src/cascade_creation.py | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/src/cascade_creation.py b/src/cascade_creation.py index df0384e..a90939b 100644 --- a/src/cascade_creation.py +++ b/src/cascade_creation.py @@ -28,6 +28,17 @@ class InfluenceGraph(nx.DiGraph): self.add_edges_from(G.edges()) self.add_edges_from([(node_2, node_1) for node_1, node_2 in G.edges()]) + def powerlaw_cluster(self, n, m, p, seed=139): + """ + n : number of nodes + m : number of random edges to add for each node + p : proba of adding triangle for each random edge + seed : random number generator + """ + G = nx.powerlaw_cluster_graph(n, m, p, seed) + self.add_edges_from(G.edges()) + self.add_edges_from([(node_2, node_1) for node_1, node_2 in G.edges()]) + def import_from_file(self, file_name): """ Takes a file from the Stanford collection of networks |
