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-rw-r--r--python/README.md18
-rw-r--r--python/sample_data/README28
-rw-r--r--python/sample_data/communication.txt200
-rw-r--r--python/sample_data/file_list4
-rw-r--r--python/sample_data/financial.txt15
-rw-r--r--python/sample_data/operationalaggregated.txt437
-rw-r--r--python/sample_data/trustaggregated.txt259
7 files changed, 959 insertions, 2 deletions
diff --git a/python/README.md b/python/README.md
index b63b36c..4b3ff06 100644
--- a/python/README.md
+++ b/python/README.md
@@ -22,7 +22,7 @@
This is multired-0.1.
-This is a Python implmementation of the algorithm for structural
+This is a Python implementation of the algorithm for structural
reduction of multi-layer networks based on the Von Neumann and on the
Quantum Jensen-Shannon divergence of graphs, as explained in:
@@ -60,7 +60,21 @@ approximation is based on a 10th order polynomial fit of x log(x) in
[0,1], but the order of the polynomial can be set through the
parameter "fit_degree" of the constructor.
-Several sample scripts can be found in the "test/" directory.
+Several sample scripts can be found in the "test/" directory. You also
+find a sample data set in the folder "sample_data/". That is the 4-layer
+Noordin Top Terrorist multiplex network, originally provided in:
+
+ N. Roberts, S. F. Everton, Roberts and Everton "Terrorist
+ Data: Noordin Top Terrorist Network" (Subset) (2011).
+
+and extensively studied in:
+
+ F. Battiston, V. Nicosia, V. Latora,
+ "Structural measures for multiplex networks",
+ Phys. Rev. E 89, 032804 (2014).
+
+Please consider citing those papers if you use that data set in a
+scientific work.
--------------------
DEPENDENCIES
diff --git a/python/sample_data/README b/python/sample_data/README
new file mode 100644
index 0000000..dd4a910
--- /dev/null
+++ b/python/sample_data/README
@@ -0,0 +1,28 @@
+-------------------------------
+ Noordin Top Terrorist Network
+-------------------------------
+
+This is the 4-layer multiplex networks of terrorist relationships
+mentioned in:
+
+ N. Roberts, S. F. Everton, Roberts and Everton "Terrorist
+ Data: Noordin Top Terrorist Network" (Subset) (2011).
+
+The four layers represent, respectively, communications, financial,
+operation and trust relatioships among a group of 78 terrorists.
+
+You can test multired on this data set by using, e.g., :
+
+ python simple_test.py file_list
+
+
+
+If you use this data set in a research work, please cite that paper.
+Please also consider that an exhaustive multi-layer analysis of this
+network has been performed in:
+
+ F. Battiston, V. Nicosia, V. Latora,
+ "Structural measures for multiplex networks",
+ Phys. Rev. E 89, 032804 (2014).
+
+
diff --git a/python/sample_data/communication.txt b/python/sample_data/communication.txt
new file mode 100644
index 0000000..7053710
--- /dev/null
+++ b/python/sample_data/communication.txt
@@ -0,0 +1,200 @@
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diff --git a/python/sample_data/file_list b/python/sample_data/file_list
new file mode 100644
index 0000000..2b8f703
--- /dev/null
+++ b/python/sample_data/file_list
@@ -0,0 +1,4 @@
+communication.txt
+financial.txt
+operationalaggregated.txt
+trustaggregated.txt
diff --git a/python/sample_data/financial.txt b/python/sample_data/financial.txt
new file mode 100644
index 0000000..32f6d23
--- /dev/null
+++ b/python/sample_data/financial.txt
@@ -0,0 +1,15 @@
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diff --git a/python/sample_data/operationalaggregated.txt b/python/sample_data/operationalaggregated.txt
new file mode 100644
index 0000000..2b132a3
--- /dev/null
+++ b/python/sample_data/operationalaggregated.txt
@@ -0,0 +1,437 @@
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diff --git a/python/sample_data/trustaggregated.txt b/python/sample_data/trustaggregated.txt
new file mode 100644
index 0000000..0f7cfeb
--- /dev/null
+++ b/python/sample_data/trustaggregated.txt
@@ -0,0 +1,259 @@
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generated by cgit v1.2.3 (git 2.25.1) at 2024-11-21 22:54:04 +0000