conf_name += "RIV_"
#Loading Data
data_content = data.read_dataset(season_sep=season_sep)
data_model = History()
data_model.build(seasons_content=data_content,seasons_ids=seasons_evaluated)
#Building the model
temporal_network = {}
temporal_network_kh = {}
temporal_network_riv = {}
for i in range(0,len(seasons_evaluated),1):
season = seasons_evaluated[i]
network_name = r"Network_of_season_" + str(season)# + conf_name
current_data = data_model.getSeason(season)
G = nx.DiGraph(season=season)
G_kh = nx.DiGraph(season=season)
G_riv = nx.DiGraph(season=season)
current_crews = current_data.getCrews()
current_actuations = current_data.getActuations()
for crew in current_crews.items():
G.add_node(crew[0],crew=crew[1],color=[1,1,0])
G_kh.add_node(crew[0], crew=crew[1], color=[1, 1, 0])
G_riv.add_node(crew[0], crew=crew[1], color=[1, 1, 0])
for item in current_actuations.items():
actuation = item[1]
participants = actuation.getParticipants()
for participant_1 in participants:
for participant_2 in participants:
