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- Added the Noordin Top Terrorist dataset in the folder "sample_data"

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- amended README.md
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KatolaZ 10 years ago
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  1. 18
      python/README.md
  2. 28
      python/sample_data/README
  3. 200
      python/sample_data/communication.txt
  4. 4
      python/sample_data/file_list
  5. 15
      python/sample_data/financial.txt
  6. 437
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  7. 259
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python/README.md
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This is multired-0.1. 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 reduction of multi-layer networks based on the Von Neumann and on the
Quantum Jensen-Shannon divergence of graphs, as explained in: 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 [0,1], but the order of the polynomial can be set through the
parameter "fit_degree" of the constructor. 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 DEPENDENCIES

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-------------------------------
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).

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communication.txt
financial.txt
operationalaggregated.txt
trustaggregated.txt

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