# jc.JordanCenter(),
# ri.ReverseInfection(),
# di.DynamicImportance(),
# prior_detector8,
# gsba.GSBA(prior_detector1),
# gsba_bao7.GSBA_coverage_7(prior_detector1),
#
# ]
methods = [
rc.RumorCenter(),
dc.DistanceCenter(),
jc.JordanCenter(),
ri.ReverseInfection(),
di.DynamicImportance(), prior_detector8,
gsba.GSBA(prior_detector1),
gsba_bao7.GSBA_coverage_7(prior_detector1),
gsba_bao9.GSBA_coverage_9(prior_detector1)
]
logger = log.Logger(logname='../data/main_5regular_tree1229.log',
loglevel=logging.INFO,
logger="experiment").get_log()
experiment = Experiment(methods, logger)
experiment.propagation_model = 'SI'
start_time = clock()
print "Starting..."
d = data.Graph("../data/5regular_tree_2000.txt", weighted=0)
d.debug = False
test_num = 10
from experiment import Experiment
if __name__ == '__main__':
prior_detector0 = prior.Uniform()
prior_detector1 = rc.RumorCenter()
prior_detector2 = dmp2.DynamicMessagePassing()
prior_detector3 = dc.DistanceCenter()
prior_detector4 = jc.JordanCenter()
prior_detector5 = ri.ReverseInfection()
methods = [
rc.RumorCenter(),
dc.DistanceCenter(),
jc.JordanCenter(),
ri.ReverseInfection(), prior_detector2,
gsba.GSBA(prior_detector1),
gsba.GSBA(prior_detector2),
gsba.GSBA(prior_detector3),
gsba.GSBA(prior_detector4),
gsba.GSBA(prior_detector5)
]
methods = [
enum.Likelihoods(prior_detector1),
ulbaa.ULBAA(prior_detector1),
gsba.GSBA(prior_detector1)
]
# methods = [rc.RumorCenter(), dc.DistanceCenter(), jc.JordanCenter(), ri.ReverseInfection(), di.DynamicImportance(),
# gsba.GSBA(prior_detector1),gsba.GSBA(prior_detector3),gsba.GSBA(prior_detector4),
# ulbaa.ULBAA(prior_detector1), ulbaa.ULBAA(prior_detector3), ulbaa.ULBAA(prior_detector4)]
logger = log.Logger(logname='../data/main_ulbaa.log',
import map_gsba3 as gsba3
import map_rsa as rsa
import numpy as np
from experiment import Experiment
if __name__ == '__main__':
prior_detector0 = prior.Uniform()
prior_detector1 = rc.RumorCenter()
prior_detector2 = dmp2.DynamicMessagePassing()
prior_detector3 = dc.DistanceCenter()
prior_detector4 = jc.JordanCenter()
prior_detector5 = ri.ReverseInfection()
methods = [
gsba.GSBA(prior_detector0),
gsba.GSBA(prior_detector1),
gsba.GSBA(prior_detector3),
gsba.GSBA(prior_detector4),
gsba3.GSBA(prior_detector0),
gsba3.GSBA(prior_detector1),
gsba3.GSBA(prior_detector3),
gsba3.GSBA(prior_detector4)
]
logger = log.Logger(logname='../data/main_scale_free3.log',
loglevel=logging.INFO,
logger="experiment").get_log()
experiment = Experiment(methods, logger)
experiment.propagation_model = 'SI'
print r
logger.info(r)
if __name__ == '__main__':
logger = log.Logger(logname='../data/test3.log', loglevel=logging.INFO, logger="experiment").get_log()
experiment = Experiment()
experiment.logger = logger
prior_detector0 = prior.Uniform()
prior_detector1 = rc.RumorCenter()
prior_detector2 = dmp2.DynamicMessagePassing()
prior_detector3 = dc.DistanceCenter()
prior_detector4 = jc.JordanCenter()
prior_detector5 = ri.ReverseInfection()
methods = [rc.RumorCenter(), dc.DistanceCenter(), jc.JordanCenter(),ri.ReverseInfection(),prior_detector2,
gsba.GSBA( prior_detector1),gsba.GSBA(prior_detector2), gsba.GSBA( prior_detector3),
gsba.GSBA(prior_detector4), gsba.GSBA( prior_detector5)]
methods = [rc.RumorCenter(), dc.DistanceCenter(), jc.JordanCenter(), ri.ReverseInfection(), di.DynamicImportance(), prior_detector2,
gsba.GSBA(prior_detector0), gsba.GSBA(prior_detector1), gsba.GSBA( prior_detector3),
gsba.GSBA(prior_detector4), gsba.GSBA( prior_detector5), gsba.GSBA(prior_detector2), bfsa_p.BFSA(prior_detector1)]
methods = [bfsa.BFSA(prior_detector1)]
# methods = [dmp2.DynamicMessagePassing()]
experiment.methods = methods
start_time = clock()
print "Starting..."
d = data.Graph("../data/test_category.txt", weighted=1)
# d = data.Graph("../data/karate_club.gml")
# d = data.Graph("../data/small-world.ws.v100.e500.gml", weighted=1)
d = data.Graph("../data/scale-free.ba.v500.e996.gml", weighted=1)
#d = data.Graph("../data/power-grid.txt")
