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authorjeanpouget-abadie <jean.pougetabadie@gmail.com>2015-02-04 12:35:03 -0500
committerjeanpouget-abadie <jean.pougetabadie@gmail.com>2015-02-04 12:35:03 -0500
commita819813ca6c310d84a52de51e7bc49ea8dd8a726 (patch)
tree46d1f852693acbc7572cff8869f9c423d4230a00
parente82b8100d4da0789e7f13e90778f1cc2d2a49df5 (diff)
downloadcascades-a819813ca6c310d84a52de51e7bc49ea8dd8a726.tar.gz
adding datasets, sorry T-bone
Diffstat
-rw-r--r--datasets/barabasi_albert_300_30.txt16200
-rw-r--r--datasets/kronecker_graph_256_cross.txt10000
-rw-r--r--paper/figures/watts_strogatz.pdfbin13549 -> 13719 bytes
-rw-r--r--src/cascade_creation.py9
-rw-r--r--src/convex_optimization.py2
-rw-r--r--src/make_plots.py43
6 files changed, 26248 insertions, 6 deletions
diff --git a/datasets/barabasi_albert_300_30.txt b/datasets/barabasi_albert_300_30.txt
new file mode 100644
index 0000000..684cf85
--- /dev/null
+++ b/datasets/barabasi_albert_300_30.txt
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diff --git a/datasets/kronecker_graph_256_cross.txt b/datasets/kronecker_graph_256_cross.txt
new file mode 100644
index 0000000..f819a31
--- /dev/null
+++ b/datasets/kronecker_graph_256_cross.txt
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diff --git a/paper/figures/watts_strogatz.pdf b/paper/figures/watts_strogatz.pdf
index f743d87..cdc2bfa 100644
--- a/paper/figures/watts_strogatz.pdf
+++ b/paper/figures/watts_strogatz.pdf
Binary files differ
diff --git a/src/cascade_creation.py b/src/cascade_creation.py
index a90939b..1c365b9 100644
--- a/src/cascade_creation.py
+++ b/src/cascade_creation.py
@@ -28,6 +28,15 @@ 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 barabasi_albert(self, n, m):
+ """
+ n : number of nodes
+ m : number of edges to attach to new node
+ """
+ G = nx.barabasi_albert_graph(n, m)
+ 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
diff --git a/src/convex_optimization.py b/src/convex_optimization.py
index 3111e50..0ff4521 100644
--- a/src/convex_optimization.py
+++ b/src/convex_optimization.py
@@ -90,7 +90,7 @@ def diff_and_opt(M_val, w_val, f_x, f_xz):
def F(x=None, z=None):
if x is None:
- return 0, cvxopt.matrix(-.00001, (n,1))
+ return 0, cvxopt.matrix(-.1, (n,1))
elif z is None:
y, y_diff = f_x(x, M_val, w_val)
return cvxopt.matrix(float(y), (1, 1)),\
diff --git a/src/make_plots.py b/src/make_plots.py
index aa77365..9b0fc11 100644
--- a/src/make_plots.py
+++ b/src/make_plots.py
@@ -44,7 +44,7 @@ def compute_graph(graph_name, n_cascades, lbda, passed_function):
algorithms.correctness_measure(G, G_hat, print_values=True)
-def plot_graph(figure_name):
+def plot_watts_strogatz_graph():
"""
plot information in a pretty way
"""
@@ -65,24 +65,57 @@ def plot_graph(figure_name):
plt.grid(color="lightgrey")
ax.plot(x, greedy, 'ko-', color="lightseagreen", label='Greedy')
ax.plot(x, lasso, 'ko-', color="orange", label="Lasso")
- ax.plot(x, max_likel, 'ko-', color="coral", label="MLE")
+ ax.plot(x, max_likel, 'ko-', color="cornflowerblue", label="MLE")
ax.plot(x, sparse_recov, 'ko-', color="k", label="Our Method")
plt.legend(loc="lower right")
ax.set_xticks(x)
ax.set_xticklabels(tuple(labels))
+ plt.savefig("../paper/figures/"+"watts_strogatz.pdf")
+
+
+def plot_ROC_curve(figure_name):
+ """
+ plot information in a pretty way
+ """
+ plt.clf()
+ fig = plt.figure(1)
+ #labels = [0, .00002, .002, .02, .2, .5]
+ x_sparse = [.57, .6, .61, .76, .9]
+ y_sparse = [.41, .4, .37, .16, .03]
+
+ x_lasso = [.55, .56, .66]
+ y_lasso = [.5, .43, .25]
+
+ fig, ax = plt.subplots()
+
+ plt.axis((np.log(45), np.log(5500), 0, 1))
+ plt.xlabel("Number of Cascades")
+ plt.ylabel("F1 score")
+ plt.grid(color="lightgrey")
+ ax.plot(x_lasso, y_lasso, 'ko-', color="orange", label="Lasso")
+ ax.plot(x_sparse, y_sparse, 'ko-', color="k", label="Our Method")
+ plt.legend(loc="lower right")
+ ax.set_xticks(x)
+ ax.set_xticklabels(tuple(labels))
plt.savefig("../paper/figures/"+figure_name)
if __name__=="__main__":
if 0:
compute_graph("../datasets/watts_strogatz_300_30_point3.txt",
- n_cascades=5000, lbda=.002, passed_function=
+ n_cascades=100, lbda=.01, passed_function=
#convex_optimization.sparse_recovery)
#algorithms.greedy_prediction)
- convex_optimization.type_lasso)
- if 1:
+ convex_optimization.sparse_recovery)
+ if 0:
compute_graph("../datasets/powerlaw_200_30_point3.txt",
n_cascades=300, lbda=.002, passed_function=
convex_optimization.sparse_recovery)
#algorithms.greedy_prediction)
+ #convex_optimization.type_lasso)
+ if 1:
+ compute_graph("../datasets/barabasi_albert_300_30.txt",
+ n_cascades=100, lbda=.002, passed_function=
+ convex_optimization.sparse_recovery)
+ #algorithms.greedy_prediction)
#convex_optimization.type_lasso) \ No newline at end of file
generated by cgit v1.2.3-70-g09d2 (git 2.52.0) at 2025-12-21 14:55:23 +0000