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main_generate.py
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main_generate.py
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##############################################################################
# Copyright (c) 2023, Ruben Becker, Sajjad Ghobadi
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * The name of the author may not be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED
# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
# EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
##############################################################################
"""Main module that executes the experiments."""
import os
import sys
import numpy as np
import networkx as nx
from numpy.random import choice, seed
import generation as gen
def create_graphs():
"""Create graph and store it in seperate files.
"""
graphs = generator(generator_parameters)
for G in graphs:
index_node = {}
node_index = {}
j = 0;
for u in sorted(G.nodes()):
index_node[j] = u
node_index[u] = j
j += 1
if experiment_type == 'email-Eu-core_0_0.2':
gen.set_communities_email_Eu_core(G)
else:
gen.set_communities(G, comm_type)
create_files_in_TIM(G)
pass
def create_files_in_TIM(G):
"""Store the graph G in seperate files.
Create seperate files for storing
- the edges and probabilities on the edges (graph_ic.txt)
- the number of nodes (n) and edges (m) of G (attribute.txt)
- the community structure in G (community.txt)
"""
folder = './data_set/'+ experiment_type + '/'
path = os.path.join(folder, G.graph['graphname'])
os.makedirs(path, exist_ok = True)
graph_file = path + '/' + 'graph_ic' + '.txt'
attribute_file = path + '/' + 'attribute' + '.txt'
community_file = path + '/' + 'community' + '.txt'
edges = sorted(G.edges(data=True), key=lambda x: x[0], reverse = False)
with open(graph_file, 'w') as f:
f.writelines([str(e[0]) + ' ' + str(e[1]) + ' ' + str(round(G[e[0]][e[1]]['p'], 6)) + '\n' for e in edges])
with open(attribute_file, 'w') as f:
f.writelines(['n='+ str(len(G)) + '\n', 'm='+ str(len(G.edges()))])
with open(community_file, 'w') as f:
f.writelines(str(len(G.graph['communities']))+ '\n')
f.writelines([str(C)+ ' '+' ' .join([str(i) for i in G.graph['communities'][C]]) + '\n' for C in G.graph['communities']])
#############
# main
#############
# forbid python 2 usage
version = sys.version_info[0]
if version == 2:
sys.exit("This script shouldn't be run by python 2 ")
# do not set seed specifically
s = None
seed(s)
# dictionary to specify different graph generators by shorter names
generators = {
'tsang': gen.graph_tsang,
'ba': gen.directed_barabasi_albert,
'data_set' : gen.graph_fish,
}
print('++++++++++++++++++++++++++++++++++++++++++++++++++++')
print('++++++ Expecting experiment_type as argument. ++++++')
print('++++++++++++++++++++++++++++++++++++++++++++++++++++')
# read number of desired processes from the shell
experiment_type = sys.argv[1]
if len(sys.argv) == 3:
number_of_processes = int(sys.argv[2])
else:
number_of_processes = 1
rep_graph = 5
if experiment_type == 'ba-singletons-0_0.4-200':
generator_name = 'ba'
generator_parameters = ([200], 2, '0_0.4', rep_graph, s)
comm_type = 'singleton'
elif experiment_type == 'ba-singletons-0_0.4-100':
generator_name = 'ba'
generator_parameters = ([100], 2, '0_0.4', rep_graph, s)
comm_type = 'singleton'
elif experiment_type == 'ba-singletons-0_0.4-50':
generator_name = 'ba'
generator_parameters = ([50], 2, '0_0.4', rep_graph, s)
comm_type = 'singleton'
elif experiment_type == 'tsang-region-gender-0-0.4':
generator_name = 'tsang'
generator_parameters = ('0_0.4', rep_graph)
comm_type = 'tsang_region_gender'
elif experiment_type == 'arena_0_0.2-random_overlap_10':
generator_name = 'data_set'
generator_parameters = ('0_0.2', rep_graph, ["arena.txt"])
comm_type = 'random_overlap_10'
elif experiment_type == 'irvine_0_0.2_bfs_comm_10':
generator_name = 'data_set'
generator_parameters = ('0_0.2', rep_graph, ["irvine.txt"])
comm_type = 'bfs_10'
elif experiment_type == 'email-Eu-core_0_0.2':
generator_name = 'data_set'
generator_parameters = ('0_0.2', rep_graph, ["email-Eu-core.txt"])
comm_type = 'email-Eu-core'
elif experiment_type == 'ca-GrQc_0_0.2-leiden':
generator_name = 'data_set'
generator_parameters = ('0_0.2', rep_graph, ["ca-GrQc.txt"])
comm_type = 'leiden'
elif experiment_type == 'ca-HepTh_0_0.2_random-n_10':
generator_name = 'data_set'
generator_parameters = ('0_0.2', rep_graph, ["ca-HepTh.txt"])
comm_type = 'random-n_10'
elif experiment_type == 'facebook_combined_0_0.2_bfs_comm_2':
generator_name = 'data_set'
generator_parameters = ('0_0.2', rep_graph, ["facebook_combined.txt"])
comm_type = 'bfs_2'
else:
print("Error: Unknown option.")
assert(0)
generator = generators[generator_name]
create_graphs()