aggregated_1_sgdvs_3,aggregated_1_sgdvs_4,aggregated_1_sgdvs_5,stgdvs_3,stgdvs_4,stgdvs_5

python run_enrichment_analysis.py -k 250 -r aging dzgdvs_3_3_1,dzgdvs_4_3_1,dzgdvs_5_3_1,dzgdvs_3_2_1,dzgdvs_4_2_1,dzgdvs_5_2_1 sequenceage,unionallbutdynetage,unionall,dynetage

dgdvs_6_4_1,dgdvs_3_3_1,dgdvs_4_3_1,dgdvs_5_3_1,dgdvs_3_2_1,dgdvs_4_2_1,dgdvs_5_2_1

python run_enrichment_analysis.py -k 250 -r aging dzgdvs_2_2_1,dzgdvs_6_3_1,dzgdvs_7_3_1 sequenceage,unionallbutdynetage,unionall

python ./run_enrichment_analysis.py -r 10 -k 50 enron aggregated_1_sgdvs_3,aggregated_1_sgdvs_4,aggregated_1_sgdvs_5,snapshots_1month_1_stgdvs_3,snapshots_1month_1_stgdvs_4,snapshots_1month_1_stgdvs_5 manager


python run_dynamic_counting.py --compute-gdvs aging dczgdvs_3_3_1,dczgdvs_4_3_1,dczgdvs_5_3_1,dczgdvs_6_3_1,dczgdvs_7_3_1


python ./run_enrichment_analysis.py -r 10 -k 50 enron aggregated_1_sgdvs_4,snapshots_1month_1_stgdvs_4,snapshots_1month_1_dgdvs_6_4_1 manager
python ./run_enrichment_analysis.py -r 10 -k 250 aging dcgdvs_3_3_1,dcgdvs_4_3_1,dcgdvs_5_3_1,dcgdvs_6_3_1,dcgdvs_7_3_1,dcgdvs_6_4_1 sequenceage,unionallbutdynetage,unionall
python ./run_enrichment_analysis.py -r 10 -k 250 aging dczgdvs_6_4_1 sequenceage,unionallbutdynetage,unionall




python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_1000/,ne_poly_type2_1000/,ne_exp_type1_1000/,ne_exp_type2_1000/ snapshots_5_1_dgdvs_3_3_1,snapshots_5_1_dcgdvs_3_3_1
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_1000/,ne_poly_type2_1000/,ne_exp_type1_1000/,ne_exp_type2_1000/ snapshots_5_1_stgdvs_4,aggregated_1_sgdvs_4
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_1000_random/ snapshots_5_1_dcgdvs_3_3_1
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_5000/ snapshots_5_1_dcgdvs_3_3_1
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_1000/,ne_exp_type2_1000/ snapshots_5_1_dcgdvs_8_4_1
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs --recompute-gdv ne_exp_type1_1000/,ne_exp_type2_1000/ aggregated_1_sgdvs_3,aggregated_1_sgdvs_4,aggregated_1_sgdvs_5
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs --recompute-gdv ne_exp_type1_1000/,ne_exp_type2_1000/ snapshots_5_1_stgdvs_3,snapshots_5_1_stgdvs_4,snapshots_5_1_stgdvs_5
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_1000/,ne_exp_type2_1000/ snapshots_5_1_dgdvs_4_4_1,snapshots_5_1_dgdvs_5_4_1,snapshots_5_1_dgdvs_6_4_1,snapshots_5_1_dgdvs_7_4_1,snapshots_5_1_dgdvs_8_4_1



netevol -i:'/home/yhulovat/dynamic_graphlets/input/model/ne/ne_exp_type1_1000/ne_exp_type1_1000_1/snapshots/snapshots_5_1/*.txt' -o:ne_exp_type1_1000_1

python run_network_model_analysis.py -f png,eps --num-pca-components=3 -d spearman,pca ne_exp_type1_1000,ne_poly_type1_1000 snapshots_5_1_dgdvs_6_4_1 diffnodearrival
python run_network_model_analysis.py -f png,eps --num-pca-components=3 -d spearman,pca ne_exp_type1_1000,ne_exp_type2_1000 all diffwakeupexp
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d spearman,pca ne_poly_type1_1000,ne_poly_type2_1000,ne_exp_type1_1000,ne_exp_type2_1000 all all
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d spearman,pca ne_poly_type1_default_2000,ne_poly_type2_default_2000 all test1


//----------------------
python generate_random_model_networks.py -c 100 -s 2,5,5a ne_poly_type1_default_2002,ne_poly_type2_default_2002,ne_exp_type1_default_2002,ne_exp_type2_default_2002
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_default_2002/,ne_poly_type2_default_2002/ aggregated_1_sgdvs_3,aggregated_1_sgdvs_4,aggregated_1_sgdvs_5
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_default_2002/,ne_poly_type2_default_2002/ snapshots_5_1_acc_stgdvs_3,snapshots_5_1_acc_stgdvs_4,snapshots_5_1_acc_stgdvs_5
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_default_2002/,ne_poly_type2_default_2002/ snapshots_5_1_dgdvs_3_3_1,snapshots_5_1_dgdvs_6_4_1,snapshots_5_1_dcgdvs_3_3_1,snapshots_5_1_dcgdvs_6_4_1
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_default_2002/,ne_poly_type2_default_2002/ snapshots_5_1_dgdvs_4_4_1,snapshots_5_1_dgdvs_5_4_1,snapshots_5_1_dgdvs_6_4_1,snapshots_5_1_dgdvs_7_4_1,snapshots_5_1_dgdvs_8_4_1
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_poly_type1_default_2002/,ne_poly_type2_default_2002/ snapshots_5_1_acc_dcgdvs_3_3_1,snapshots_5_1_acc_dcgdvs_5_3_1,snapshots_5_1_acc_dcgdvs_7_3_1,snapshots_5_1_acc_dcgdvs_8_3_1
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d spearman,pca ne_poly_type1_default_2002,ne_poly_type2_default_2002 all test3
python network_model_analysis_report.py test3 spearman,pca


//-------------------------------
python generate_random_model_networks.py -c 50 -s 2,5,5a ne_quad_type1_default_1000,ne_quad_type2_default_1000,ne_exp_type1_default_1000,ne_exp_type2_default_1000
python generate_random_model_networks.py -c 50 -s 2,5,5a ne_lin_type1_default_1000,ne_lin_type2_default_1000,ne_exp_type0_pa20_1000,ne_lin_type0_pa20_1000,ne_quad_type0_pa20_1000
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_default_1000/,ne_exp_type2_default_1000/ aggregated_1_sgdvs_3,aggregated_1_sgdvs_4,aggregated_1_sgdvs_5
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_default_1000/,ne_exp_type2_default_1000/ snapshots_5_1_stgdvs_3,snapshots_5_1_stgdvs_4,snapshots_5_1_stgdvs_5
python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs ne_exp_type1_default_1000/,ne_exp_type2_default_1000/ snapshots_5_1_dgdvs_3_3_1,snapshots_5_1_dgdvs_6_4_1,snapshots_5_1_dcgdvs_3_3_1,snapshots_5_1_dcgdvs_6_4_1

python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d pca ne_lin_type1_default_1000,ne_lin_type2_default_1000 all lin_types
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d pca ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_exp_type0_pa20_1000 all exp_types_with_pa
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d pca ne_lin_type0_pa20_1000,ne_quad_type0_pa20_1000,ne_exp_type0_pa20_1000 all type0_arrivals
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d pca ne_lin_type1_default_1000,ne_quad_type1_default_1000,ne_exp_type1_default_1000 all type1_arrivals
python run_network_model_analysis.py -f eps --num-pca-components=2 -d pca ne_lin_type1_default_1000,ne_lin_type2_default_1000,ne_lin_type0_pa20_1000,ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_exp_type0_pa20_1000,ne_quad_type1_default_1000,ne_quad_type2_default_1000,ne_quad_type0_pa20_1000 all 3na_3wa_1000
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d pca ne_lin_type1_default_1000,ne_lin_type2_default_1000,ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_quad_type1_default_1000,ne_quad_type2_default_1000 all 3na_2wa_1000
python run_network_model_analysis.py -f png,eps --num-pca-components=2 -d pca ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_exp_type0_pa20_1000 random exp_types_with_pa

python pca_analysis_report.py model 3na_3wa_1000 pca


//-------------
python generate_random_model_networks.py -c 50 -s 2,5,10 ne_lin_type0_pa20_3000,ne_exp_type0_pa20_3000,ne_quad_type0_pa20_3000
python generate_random_model_networks.py -c 50 -s 2,5 ne_lin_type1_default_3000,ne_lin_type2_default_3000,ne_quad_type1_default_3000,ne_quad_type2_default_3000,ne_exp_type1_default_3000,ne_exp_type2_default_3000
python generate_random_model_networks.py -c 25 -s 2,5 ne_lin_type1_default_1000,ne_lin_type2_default_1000,ne_lin_type0_pa20_1000,ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_exp_type0_pa20_1000,ne_quad_type1_default_1000,ne_quad_type2_default_1000,ne_quad_type0_pa20_1000
python generate_random_model_networks.py -c 25 -s 2,5 ne_lin_type1_default_3000,ne_lin_type2_default_3000,ne_lin_type0_pa20_3000,ne_exp_type1_default_3000,ne_exp_type2_default_3000,ne_exp_type0_pa20_3000,ne_quad_type1_default_3000,ne_quad_type2_default_3000,ne_quad_type0_pa20_3000




python run_graphlet_counting.py -s model/ne --do-not-compute-gdvs --remove-gdv --recompute-gdv ne_exp_type1_default_3000/,ne_exp_type2_default_3000/,ne_quad_type1_default_3000/,ne_quad_type2_default_3000/,ne_lin_type1_default_3000/,ne_lin_type2_default_3000/,ne_lin_type0_pa20_3000/,ne_quad_type0_pa20_3000/,ne_exp_type0_pa20_3000/  key_d2

python run_network_model_analysis.py -f eps --num-pca-components=2  --random-shuffle=10 -d pca ne_lin_type1_default_3000,ne_lin_type2_default_3000,ne_exp_type1_default_3000,ne_exp_type2_default_3000,ne_quad_type1_default_3000,ne_quad_type2_default_3000 all 3na_2wa_3000

python run_network_model_analysis.py -f eps  --random-shuffle=10 -d pca_2  --ignore-methods=snapshots_10 ne_lin_type1_default_3000,ne_lin_type2_default_3000,ne_lin_type0_pa20_3000,ne_exp_type1_default_3000,ne_exp_type2_default_3000,ne_exp_type0_pa20_3000,ne_quad_type1_default_3000,ne_quad_type2_default_3000,ne_quad_type0_pa20_3000 all 3na_3wa_3000

python pca_analysis_report.py --ignore-methods=snapshots_5 model 3na_3wa_3000 pca
//----------

python run_graphlet_counting.py  --do-not-compute-gdvs enron key_enron_d2
python run_graphlet_counting.py --do-not-compute-gdvs -d tab aging dcgdvs_5_6_1


python run_pca_gdv_analysis.py -d pca_3 --random-shuffle=10 enron snapshots_2month_1_dgdvs_3_3_1 profession
python run_pca_gdv_analysis.py -d pca_3  --random-shuffle=10 enron all profession
python run_pca_gdv_analysis.py -d pca_3 --recalculate-pairwise-distances  enron snapshots_2month_1_dsgdvs_4_5_1 profession

python run_pca_gdv_analysis.py --ignore-pairs-ground-truth=non-aging -d pca_3 aging all sequenceage,unionallbutdynetage
python run_pca_gdv_analysis.py --recalculate-pairwise-distances --ignore-pairs-ground-truth=non-aging -d pca_2 aging all dynetage
python run_pca_gdv_analysis.py --ignore-pairs-ground-truth=non-aging -p 3 aging dcgdvs_5_6_1 sequenceage,dynetage,unionallbutdynetage,unionall
python run_pca_gdv_analysis.py -p 3 aging dcgdvs_5_6_1 sequenceage,dynetage,unionallbutdynetage,unionall

python pca_analysis_report.py -d pca_3 --default-snapshot-params=snapshots_2month_1 --ignore-methods=1week,2week,aggregated_5,aggregated_10,1month,3month,aggregated_2,aggregated_3 --ignore-methods-for-intersection-matrix=1week,2week,1month,3month,aggregated_5,aggregated_10,aggregated_2,aggregated_3,_4_2,_3_2,_4_3,_6_3,_8_4,_5_5,_6_5,_7_7,_7_5,_5_4,_4_4,_6_6,_7_4 enron profession
python pca_analysis_report.py aging sequenceage
python pca_analysis_report.py --save-summary-values --use-ignored-pairs-ground-truth-results aging dynetage
//--------------
python network_stat_analysis.py ne_lin_type1_default_1000,ne_lin_type2_default_1000,ne_lin_type0_pa20_1000,ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_exp_type0_pa20_1000,ne_quad_type1_default_1000,ne_quad_type2_default_1000,ne_quad_type0_pa20_1000 3na_3wa_1000
python network_stat_analysis.py ne_lin_type1_default_1000,ne_lin_type2_default_1000,ne_exp_type1_default_1000,ne_exp_type2_default_1000,ne_quad_type1_default_1000,ne_quad_type2_default_1000 3na_2wa_1000
python network_stat_analysis.py ne_lin_type0_pa20_1000,ne_exp_type0_pa20_1000,ne_quad_type0_pa20_1000 3na_type0_1000
python network_stat_analysis.py ne_lin_type1_default_1000,ne_exp_type1_default_1000,ne_quad_type1_default_1000 3na_type1_1000
python network_stat_analysis.py ne_lin_type2_default_1000,ne_exp_type2_default_1000,ne_quad_type2_default_1000 3na_type2_1000


python get_running_time.py -s model/ne --ignore-methods=snapshots_10,snapshots_5 ne_lin_type1_default_3000/


python generate_random_model_networks.py -c 25 -s 2,5 geogd_lin_07_1000
python run_graphlet_counting.py -s model/geogd --do-not-compute-gdvs --remove-gdv --recompute-gdv geogd_lin_03_3000/ key_s1
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000 all geogd_lin_2p03_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_1000,geogd_lin_09_1000 all geogd_lin_2p_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,geogd_lin_09_1000 all geogd_lin_3p_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000 all geogd_lin_2p03_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_3000,sfgd_lin_07_07_3000 all sfgeogd_lin_2p07_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_3000,sfgd_lin_03_07_3000 all sfgeogd_lin_2p0703_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_3000,sfgd_lin_05_07_3000 all sfgeogd_lin_2p0705_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,geogd_lin_07_3000,sfgd_lin_03_07_3000,sfgd_lin_05_07_3000 all sfgeogd_lin_3p1_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_09_1000,sfgd_lin_03_07_1000,sfgd_lin_07_07_1000 all sfgeogd_lin_4p_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,geogd_lin_07_3000,sfgd_lin_03_07_3000,sfgd_lin_07_07_3000 all sfgeogd_lin_4p_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,sfgd_lin_03_07_3000,sfgd_lin_05_07_3000,sfgd_lin_07_07_3000 all sfgeogd_lin_4p1_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_3000,sfgd_lin_03_07_3000,sfgd_lin_05_07_3000,sfgd_lin_07_07_3000 all sfgeogd_lin_4p2_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,geogd_lin_07_3000,sfgd_lin_03_07_3000,sfgd_lin_05_07_3000 all sfgeogd_lin_4p3_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,geogd_lin_07_3000,sfgd_lin_05_07_3000,sfgd_lin_07_07_3000 all sfgeogd_lin_4p4_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,geogd_lin_09_1000,sfgd_lin_03_07_1000,sfgd_lin_05_07_1000,sfgd_lin_07_07_1000 all sfgeogd_lin_6p_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_1000,geogd_lin_09_1000,sfgd_lin_03_07_1000,sfgd_lin_05_07_1000 all sfgeogd_lin_4p1_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,sfgd_lin_03_07_1000,sfgd_lin_05_07_1000 all sfgeogd_lin_4p2_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_07_1000,geogd_lin_09_1000,sfgd_lin_05_07_1000,sfgd_lin_07_07_1000 all sfgeogd_lin_4p3_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,sfgd_lin_05_07_1000,sfgd_lin_07_07_1000 all sfgeogd_lin_4p4_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_09_1000,sfgd_lin_03_07_1000,sfgd_lin_07_07_1000 all sfgeogd_lin_4p5_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,sfgd_lin_03_07_1000,sfgd_lin_07_06_1000 all sfgeogd_lin_4p6_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,sfgd_lin_03_07_1000,sfgd_lin_07_07_1000 all sfgeogd_lin_4p7_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,geogd_lin_07_1000,sfgd_exp_03_07_1000,sfgd_exp_07_06_1000 all sfgeogd_lin_4p8_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_exp_03_1000,geogd_exp_07_1000,sfgd_lin_03_07_1000,sfgd_lin_07_06_1000 all sfgeogd_lin_4p9_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_exp_03_1000,geogd_exp_07_1000,sfgd_exp_03_07_1000,sfgd_exp_07_06_1000 all sfgeogd_lin_4p10_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_1000,sfgd_lin_03_07_1000 all sfgeogd_lin_2p1_1000
python run_network_model_analysis.py -f eps -d pca_3 geogd_lin_07_1000,sfgd_lin_07_06_1000 all sfgeogd_lin_2p2_1000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,sfgd_lin_03_07_3000 all sfgeogd_lin_2p1_3000
python run_network_model_analysis.py -f eps -d pca_2 geogd_lin_03_3000,geogd_lin_07_3000,sfgd_exp_03_07_3000,sfgd_exp_07_06_3000 all sfgeogd_lin_4p8_3000

python pca_analysis_report.py model sfgeogd_lin_4p8_3000 pca

python network_stat_analysis.py geogd_lin_03_3000,geogd_lin_07_3000,geogd_lin_09_3000 geogd_lin_3p_3000

python generate_random_model_networks.py -c 25 -s 2,5 sfgd_lin_03_07_3000
python run_graphlet_counting.py -s model/sfgd --do-not-compute-gdvs --remove-gdv --recompute-gdv sfgd_lin_07_07_3000/ key_s1

python run_network_model_analysis.py -f eps -d pca_2 sfgd_lin_07_07_3000,sfgd_lin_03_07_3000 all sfgd_lin_2p_3000
python run_network_model_analysis.py -f eps -d pca_2 sfgd_lin_03_07_3000,sfgd_lin_05_07_3000,sfgd_lin_07_07_3000 all sfgd_lin_3p_3000
python pca_analysis_report.py model sfgd_lin_2p_3000 pca

python run_network_model_analysis.py -f eps -d pca_2 sfgd_lin_07_07_1000,sfgd_exp_07_07_1000 all sfgd_lin_2na_07_1000
python pca_analysis_report.py model sfgd_lin_2na_07_1000 pca