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run-fakenews.py
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run-fakenews.py
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import os
import pickle
import sys
import gc
from algorithms import *
from myutils import save_results
PATH = "../data/fakenews/"
label = "bad"
max_K = 50
# options 0,1,2
month = str(sys.argv[1])
month = "news" + month
PATH = PATH + month + "/"
#d_ = int(sys.argv[2])
d_ = 10
#tau = float(sys.argv[3])
tau = 0.9
#ALGONAMES = sys.argv[4].split("::")
ALGONAMES = ["HEU", "ByDelta", "ByZ", "Random"]
with open(PATH + "scores-d%s.p"%d_, "rb") as f:
mapping_scores = pickle.load(f)
fn_f_matrix = PATH + "inverse-d%s.p"%d_
#fn_graph = PATH + "graph-d%s.p"%d_
with open(PATH + "graph-d%s.p"%d_, "rb") as f:
graph_ = pickle.load(f)
print(graph_.summary())
one_instance = AbsorbingRandomWalk(graph_, label, d_, mapping_scores, fn_f_matrix)
one_instance._tau = tau
mapping_id_names = {n.index : n["name"] for n in graph_.vs}
one_instance._mapping_id_names = mapping_id_names
mapping_names_id = {n["name"]: n.index for n in graph_.vs}
one_instance._mapping_names_id = mapping_names_id
PATH_OUT = "../out/fakenews/" + month + "/"
#%%time
one_instance.initialize()
print("Selected tau")
print(one_instance._tau)
if not os.path.exists(PATH_OUT):
os.makedirs(PATH_OUT)
print("Our Heuristic")
algoname1 = "HEU"
out_fn = PATH_OUT + "algo-%s_d-%s_maxK-%s.p"
fn_algo1 = out_fn%(algoname1, d_, max_K)
if algoname1 in ALGONAMES:
if fn_algo1 not in glob.glob(PATH_OUT+"*"):
# initialize set of candidates
print("find-the-candidates")
one_instance.find_the_candidates_1rewiring()
# run algorithm1 - our algorithm
history_z_algo1 = [one_instance._1st_z_vec]
for one_k in range(max_K):
print("iteration: %s"%one_k)
print("find-the-optimal1")
one_instance.find_the_optimal_1rewiring()
print("apply-the-rewiring")
F_matrix__z_vec__z_max = one_instance.apply_1rewiring()
print("update-the-solution")
one_instance.update_solution(F_matrix__z_vec__z_max)
history_z_algo1.append(F_matrix__z_vec__z_max[1])
print(F_matrix__z_vec__z_max[-1])
del F_matrix__z_vec__z_max
# save results
save_results(fn_algo1, history_z_algo1)
del history_z_algo1
# run baseline1
print("1st Baseline")
algoname2 = "ByDelta"
fn_algo2 = out_fn%(d_, algoname2, max_K)
if algoname2 in ALGONAMES:
if fn_algo2 not in glob.glob(PATH_OUT+"*"):
# initialize set of candidates
print("find-the-candidates")
one_instance.find_the_candidates_1rewiring()
history_z_algo2 = one_instance.compute_AllInOneByDelta(max_K)
# save results
save_results(fn_algo2, history_z_algo2)
del history_z_algo2
print("2nd Baseline")
algoname3 = "ByZ"
fn_algo3 = out_fn%(d_, algoname3, max_K)
if algoname3 in ALGONAMES:
if fn_algo3 not in glob.glob(PATH_OUT+"*"):
#if True:
# initialize set of candidates
print("find-the-candidates")
one_instance.find_the_candidates_1rewiring()
# run baseline2
history_z_algo3 = [one_instance._1st_z_vec]
F_matrix = csr_matrix(one_instance._1st_F_matrix)
for k in range(1, max_K+1):
one_vec = one_instance.compute_AllInOneByZ(k, F_matrix)
history_z_algo3.append(one_vec)
# save results
save_results(fn_algo3, history_z_algo3)
del F_matrix
del history_z_algo3
print("3rd Baseline")
algoname4 = "Random"
fn_algo4 = out_fn%(d_, algoname4, max_K)
if algoname4 in ALGONAMES:
if fn_algo4 not in glob.glob(PATH_OUT+"*"):
#if True:
# initialize set of candidates
print("find-the-candidates")
one_instance.find_the_candidates_1rewiring()
#run baseline3
history_z_algo4 = [one_instance._1st_z_vec]
F_matrix = csr_matrix(one_instance._1st_F_matrix)
history_z_algo4 = one_instance.compute_random(max_K, F_matrix)
# save results
save_results(fn_algo4, history_z_algo4)
del F_matrix
del history_z_algo4
# clean memory
del one_instance
gc.collect()