def cascade_change():
with open('Data/echo_chamber2.json', 'r') as f:
echo_chambers = json.load(f)
count = 0
for keys in echo_chambers.keys():
users = echo_chambers[keys]
cascade_series, user_index = get_cascade_time_series(keys, users)
for key in cascade_series.keys():
cascade = cascade_series[key]
user = user_index[key]
line = LinePlot()
line.set_ylog()
line.set_label('Cascade', 'User')
line.set_xlog()
line.set_axvline(user)
line.set_plot_data(cascade, np.arange(1, len(cascade) + 1, 1))
#line.set_plot_data(np.arange(1, len(cascade) + 1, 1), cascade)
#line.set_hline(user, 0, len(cascade))
#line.set_legends(['True', 'False', 'Mixed'])
#line.set_xticks(x_ticks)
line.save_image('Image/Cascade/cascade_change_line_%s_%s.png' %
(keys, key))
count += 1
if count > 10:
break
def breadth_change():
with open('Data/echo_chamber2.json', 'r') as f:
echo_chambers = json.load(f)
count = 0
for keys in echo_chambers.keys():
users = echo_chambers[keys]
breadth_series, user_index = get_breadth_time_series(keys, users)
for key in breadth_series.keys():
breadth = breadth_series[key]
user = user_index[key]
line = LinePlot()
#line.set_ylog()
line.set_label('Users', 'Breadth')
line.set_plot_data(breadth, np.arange(1, len(breadth) + 1, 1))
line.set_axvline(user)
#line.set_legends(['True', 'False', 'Mixed'])
#line.set_xticks(x_ticks)
line.save_image('Image/Breadth/breadth_change_line_%s_%s.png' %
(keys, key))
count += 1
if count > 0:
break
def velocity_change():
with open('Data/echo_chamber2.json', 'r') as f:
echo_chambers = json.load(f)
count = 0
for keys in echo_chambers.keys():
users = echo_chambers[keys]
velocity_series, user_index, published_index = get_velocity_time_series(
keys, users, 'True,False,Mixture,Mostly False,Mostly True')
for key in velocity_series.keys():
velocity = velocity_series[key]
user = user_index[key]
published_date = published_index[key]
line = LinePlot()
line.set_ylog()
line.set_label('User', 'Time Diff')
line.set_axvline(user, published_date)
line.set_plot_data(velocity, np.arange(1, len(velocity) + 1, 1))
#line.set_plot_data(np.arange(1, len(velocity) + 1, 1), velocity)
#line.set_hline(user, 0, len(velocity))
#line.set_legends(['True', 'False', 'Mixed'])
#line.set_xticks(x_ticks)
line.save_image('Image/Velocity/velocity_change_line_%s_%s.png' %
(keys, key))
count += 1
if count > 100:
break