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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-03 14:24:22 -0500 |
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| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-03 14:24:22 -0500 |
| commit | a9125f9e7c23063e42eeaceead8c8014686c6427 (patch) | |
| tree | 7714f2628dbe8588255db0034c21b89a389c13be | |
| parent | 072f7f0b0a2965d7d640a9fcf5ef60feb0756d93 (diff) | |
| download | cascades-a9125f9e7c23063e42eeaceead8c8014686c6427.tar.gz | |
adding experiments section
| -rw-r--r-- | paper/sections/experiments.tex | 5 | ||||
| -rw-r--r-- | src/cascade_creation.py | 3 |
2 files changed, 6 insertions, 2 deletions
diff --git a/paper/sections/experiments.tex b/paper/sections/experiments.tex new file mode 100644 index 0000000..f4acc06 --- /dev/null +++ b/paper/sections/experiments.tex @@ -0,0 +1,5 @@ +\begin{itemize} +\item Compare edge recovery to First Edge and Greedy as number of cascades grows on different types of graphs... +\item Plot upper-bound of parameters in graph as number of cascades grows +\item Show robustness: plot recall and F1 score for graphs with different number of small edges + "corrected recall' etc...how many strong edges do we get, how many edges to we get in general? +\end{itemize}
\ No newline at end of file diff --git a/src/cascade_creation.py b/src/cascade_creation.py index c647b9a..c297f76 100644 --- a/src/cascade_creation.py +++ b/src/cascade_creation.py @@ -25,8 +25,7 @@ class InfluenceGraph(nx.DiGraph): p : proba of rewiring edge """ G = nx.connected_watts_strogatz_graph(n, k, p) - self.add_edges_from(G.edges()) - #TODO: Make the graph directed! + G = nx.convert_to_directed(G) self.add_edges_from(G.edges()) def import_from_file(self, file_name): |