class Analyzer:
# -------------------------------------------------------------
#
# __init__ (in_file_directory, in_file_name,
# out_file_directory,
# is_weighted, is_directed, full_analysis)
#
# -------------------------------------------------------------
def __init__(self, in_file_directory, in_file_name, out_file_directory,
is_weighted, is_directed, full_analysis, weight_id,
aggregate_number):
self.in_file_directory = in_file_directory
self.in_file_name = in_file_name
self.out_file_directory = out_file_directory
self.aggregate_number = int(aggregate_number)
self.RESULTS = []
self.analyzed_feat = 'period'
if is_weighted == 'yes':
self.is_weighted = True
self.weight_id = weight_id
else:
self.is_weighted = False
self.weight_id = 0
if is_directed == 'yes':
self.is_directed = True
else:
self.is_directed = False
if full_analysis == 'yes':
self.full_analysis = True
else:
self.full_analysis = False
# -------------------------------------------------------------
# -------------------------------------------------------------
def generate_network(self):
self.network_handler = NetworkHandler(self.in_file_directory,
self.in_file_name,
self.weight_id,
self.aggregate_number)
# -------------------------------------------------------------
# -------------------------------------------------------------
def launch_analysis(self):
self.distributions = []
[analysis, txt] = self.network_handler.set_general_values()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.set_degree_analysis()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.set_volume_distribution()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.set_clustering_distribution()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.centrality_measures()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.transversal_measures()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.scc_analysis()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
self.network_handler.save_extra()
# -------------------------------------------------------------
# -------------------------------------------------------------
def import_results(self):
return self.RESULTS
class Analyzer:
# -------------------------------------------------------------
#
# __init__ (in_file_directory, in_file_name,
# out_file_directory,
# is_weighted, is_directed, full_analysis)
#
# -------------------------------------------------------------
def __init__(
self,
in_file_directory,
in_file_name,
out_file_directory,
is_weighted,
is_directed,
full_analysis,
weight_id,
aggregate_number,
):
self.in_file_directory = in_file_directory
self.in_file_name = in_file_name
self.out_file_directory = out_file_directory
self.aggregate_number = int(aggregate_number)
self.RESULTS = []
self.analyzed_feat = "period"
if is_weighted == "yes":
self.is_weighted = True
self.weight_id = weight_id
else:
self.is_weighted = False
self.weight_id = 0
if is_directed == "yes":
self.is_directed = True
else:
self.is_directed = False
if full_analysis == "yes":
self.full_analysis = True
else:
self.full_analysis = False
# -------------------------------------------------------------
# -------------------------------------------------------------
def generate_network(self):
self.network_handler = NetworkHandler(
self.in_file_directory, self.in_file_name, self.weight_id, self.aggregate_number
)
# -------------------------------------------------------------
# -------------------------------------------------------------
def launch_analysis(self):
self.distributions = []
[analysis, txt] = self.network_handler.set_general_values()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.set_degree_analysis()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.set_volume_distribution()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.set_clustering_distribution()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.centrality_measures()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.transversal_measures()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
[analysis, txt] = self.network_handler.scc_analysis()
self.RESULTS.extend(analysis)
self.analyzed_feat += txt
self.network_handler.save_extra()
# -------------------------------------------------------------
# -------------------------------------------------------------
def import_results(self):
return self.RESULTS
