Lazega courts and judges
- 1 2014 request
- 2 Programs: Data and Permutations
- 3 Programs: Relinkings
- 4 Process of analysis
- 5 Instructions for viewing images
- 6 Visualizations
- 7 Accuracy
- 8 Relinking graphs
- 9 Relinking visualizations
- 10 Actual and Random
- 11 Next stage software: format for relink file
- 12 Summary
On 1/3/15 8:21 AM, Emmanuel LAZEGA wrote:
Hi Doug, I hope this finds you well. A student found this on the internet: http://intersci.ss.uci.edu/wiki/index.php/Lazega_courts_and_judges The document points to files that cannot be reached. Apparently your son carried out more work on this dataset and I was not aware of it. Can you tell me more? All the best, Emmanuel -- Emmanuel Lazega Professor, Institut d'Etudes Politiques de Paris Office: CSO, 13 rue de l'Université, #406D, 75007 Paris, +331 45497774 Postal mail: CSO, 27 rue Saint Guillaume, 75007 Paris firstname.lastname@example.org - http://elazega.fr/ -------------------------------------------------------------------------- Tous les courriers électroniques émis depuis la messagerie de Sciences Po doivent respecter les conditions d'usage. Pour les consulter rendez-vous sur : http://www.sciencespo.fr/ressources-numeriques/fr/content/regles-de-confidentialite
The finished files are these
http://intersci.ss.uci.edu/wiki/SVGjudges/French_Judges_4145.htm http://intersci.ss.uci.edu/wiki/SVGjudges/fl32relink4nodes1749.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Actual4nodes1664.htm http://intersci.ss.uci.edu/wiki/SVGjudges/fl3perm2.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Fr-J-Relink-in-6-1-to-25divBY5thTHEsize.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Fr-Judges-Bico1727horiz.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Fr-J-Relink-in-4.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Fr-J-Relink-in-2.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Fr-Judges-Bico1727horiz1.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Fr-Judges-Bico1727.htm http://intersci.ss.uci.edu/wiki/SVGjudges/Horizontal-Vertical.pdf All but one were svg files which for some years did not print but the svg site now works. & Glad to see these reactivated. I have no idea anymore what they indicate but perhaps I sent the labels years ago. Glad you asked about these and glad to hear from you
Programs: Data and Permutations
I use a p.bat with these comands and >save then copy the output here where relevant Type this at the command line in unix (Macintcsh) to see the options:
python ./analyze.py --help python ./sandbox/analyze.py --help Usage: analyze.py [options] Options: -h, --help show this help message and exit -i INPUT_FILE, --input=INPUT_FILE input filename -o PAJEK_OUTPUT_FILE, --output=PAJEK_OUTPUT_FILE write graph to pajek output file -p, --permute permute judge periods -r RELINKING_OUTPUT_FILE, --relink=RELINKING_OUTPUT_FILE write relinkings to output file -s SEED, --seed=SEED seed to use for random permutation
To generate the net file you type:
In Mac, -r for relinkings
cd .\sandbox python ./analyze.py -i CHAMBRES_238_corfou.csv -o fr_law.net -r
Inside IDLE for PC
analyze.py -i /Python26/CHAMBRES_238_corfou.csv -o french_law.net analyze.py -i /Python26/CHAMBRES_238_corfou.csv -o /Python26/french_law.net
To generate the net file with judges permuted for each year with default seed:
python ./analyze.py -i CHAMBRES_238_corfou.csv -o french_law.net_permuted -p
To generate the net file with judges permuted for each year for a desired randomized seed:
python ./analyze.py -i CHAMBRES_238_corfou.csv -o french_law.net_permuted_321 -p -s 321
analyze.py -i /Python26/CHAMBRES_238_corfou.csv -o french_law.net_permuted_321 -p -s 321
Scott 07:08, 15 April 2009 (PDT) Attached is a new python script which does all the things it does before but now has the -relink flag so it will generate a file that contains all the relinkings. Let me know if there is a better format you would prefer.
Here is an example of how to use it:
python ./analyze.py -i CHAMBRES_238_corfou.csv -o french_law.net1 -p -s 1 -r relink1.txt
python ./analyze.py -i CHAMBRES_238_corfou.csv -o french_law.net1 -p -s 1 -r relink2.txt
Remember to type 'python analyze.py --help' to see all the options.
DW can do this in \Python26 (PC) or the Macbook
Process of analysis
first wave was to graph the data second to get statistics on the data third wave now done: to randomly permute where judges are assigned keeping constant the number of judges per court 4th wave next: to get statistics on the data 5th: compare the actual to the permuted and we find the patterns.
Instructions for viewing images
Use iExplorer to view these files and install SVG viewer
Whole graph no relinking on the left
Horizontal Visualization bicomponent
Vertical Visualization bicomponent
Fr1727bico.net is the name of the Pajek file for the bicomponent.
These data seem perfectly accurate in that if you adjust the node size so they are clickable and right click each circuit node, the number of judges and the specific number of each judge match exactly the entries in the excel spreadsheet (column search in that year for that court number)
Relinking graphs and program zipped - these are the fragments for fragment search in the *.net file.
Relink in next 647
Relink in two 6675
Relink in three 82198 (dropping last three years) node sizes reduced.
Full relinking in three maybe 720,000+ because of the years with many judges in the same chamber NO IMAGE
The svg viewer is now enabled WikiSysopWikiSysop 16:07, 18 April 2009 (PDT) substitute htm for svg to restore some earlier images
Actual and Random
Relinked in 4 13200+
Relinking: Just click on the unix shell and type:
cd ~/sandbox python analyze.py -i <raw data file.csv> -o law.net -r <relink filename> python analyze.py -i CHAMBRES_238_corfou.csv -o law.net -r true.relink Judge relinking results
From: "scott w" <email@example.com> Date: Wed, April 22, 2009 8:44 pm
total # years, <sequential or non sequential>, judge pair, years they were linked
Every row has a unique judge pair. If it says 'seq' that means all the years were sequential. IF it says 'nonseq' that means there was at least one non-sequential relinking.
Years they were linked use the -> delimiter.
So for example
6,non-seq,"166 & 235",-> 1-> 3-> 5-> 8-> 10-> 13
means judges 166 & 235 were relinked 'non-sequentially' during 6 different periods, in years offset + 1,3,5,8,10,13.