mirror of
https://github.com/gsi-upm/soil
synced 2024-11-21 18:52:28 +00:00
Probabilities and seed infection
This commit is contained in:
parent
a728ccdb61
commit
ae01656ac3
@ -57,6 +57,8 @@ class ComportamientoBase(BaseNetworkAgent):
|
||||
return final
|
||||
|
||||
class SpreadModelM2(ComportamientoBase):
|
||||
init_states[random.randint(0,settings.number_of_nodes)] = {'id':1}
|
||||
init_states[random.randint(0,settings.number_of_nodes)] = {'id':1}
|
||||
def __init__(self, environment=None, agent_id=0, state=()):
|
||||
super().__init__(environment=environment, agent_id=agent_id, state=state)
|
||||
|
||||
|
25
settings.py
25
settings.py
@ -31,9 +31,16 @@ def init():
|
||||
global variance_d_c
|
||||
global variance_c_d
|
||||
global standard_variance
|
||||
global prob_neutral_making_denier
|
||||
global prob_infect
|
||||
global prob_cured_healing_infected
|
||||
global prob_cured_vaccinate_neutral
|
||||
global prob_vaccinated_healing_infected
|
||||
global prob_vaccinated_vaccinate_neutral
|
||||
global prob_generate_anti_rumor
|
||||
|
||||
network_type=1
|
||||
number_of_nodes=50
|
||||
number_of_nodes=1000
|
||||
max_time=500
|
||||
num_trials=1
|
||||
timeout=20
|
||||
@ -78,5 +85,19 @@ def init():
|
||||
variance_c_d = 0.003
|
||||
content_neutral = 0.088
|
||||
|
||||
standard_variance = 0.02
|
||||
standard_variance = 0.055
|
||||
|
||||
#Spread Model M2
|
||||
prob_neutral_making_denier = 0.055
|
||||
|
||||
prob_infect = 0.1
|
||||
|
||||
prob_cured_healing_infected = 0.055
|
||||
prob_cured_vaccinate_neutral = 0.055
|
||||
|
||||
prob_vaccinated_healing_infected = 0.055
|
||||
prob_vaccinated_vaccinate_neutral = 0.055
|
||||
prob_generate_anti_rumor = 0.055
|
||||
|
||||
|
||||
|
||||
|
Binary file not shown.
22
soil.py
22
soil.py
@ -18,7 +18,7 @@ models.init() # Loads the models and network variables
|
||||
if settings.network_type == 0:
|
||||
G = nx.complete_graph(settings.number_of_nodes)
|
||||
if settings.network_type == 1:
|
||||
G = nx.barabasi_albert_graph(settings.number_of_nodes,3)
|
||||
G = nx.barabasi_albert_graph(settings.number_of_nodes,10)
|
||||
if settings.network_type == 2:
|
||||
G = nx.margulis_gabber_galil_graph(settings.number_of_nodes, None)
|
||||
# More types of networks can be added here
|
||||
@ -27,7 +27,7 @@ if settings.network_type == 2:
|
||||
# Simulation #
|
||||
##############
|
||||
|
||||
sim = NetworkSimulation(topology=G, states=init_states, agent_type=SISaModel,
|
||||
sim = NetworkSimulation(topology=G, states=init_states, agent_type=SpreadModelM2,
|
||||
max_time=settings.max_time, num_trials=settings.num_trials, logging_interval=1.0)
|
||||
|
||||
|
||||
@ -39,19 +39,25 @@ sim.run_simulation()
|
||||
x_values = []
|
||||
y_values = []
|
||||
|
||||
attribute_plot = 'status'
|
||||
for time in range(0, settings.max_time):
|
||||
value = settings.sentiment_about[0]
|
||||
real_time = time * settings.timeout
|
||||
activity= False
|
||||
for x in range(0, settings.number_of_nodes):
|
||||
if "sentiment_enterprise_BBVA" in models.networkStatus["agente_%s" % x]:
|
||||
if real_time in models.networkStatus["agente_%s" % x]["sentiment_enterprise_BBVA"]:
|
||||
value += models.networkStatus["agente_%s" % x]["sentiment_enterprise_BBVA"][real_time]
|
||||
if attribute_plot in models.networkStatus["agente_%s" % x]:
|
||||
if real_time in models.networkStatus["agente_%s" % x][attribute_plot]:
|
||||
if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 1: ##Representar infectados
|
||||
value += 1
|
||||
activity = True
|
||||
|
||||
x_values.append(real_time)
|
||||
y_values.append(value)
|
||||
if activity:
|
||||
x_values.append(real_time)
|
||||
y_values.append(value)
|
||||
activity=False
|
||||
|
||||
plt.plot(x_values,y_values)
|
||||
#plt.show()
|
||||
plt.show()
|
||||
|
||||
|
||||
#################
|
||||
|
Loading…
Reference in New Issue
Block a user