def load_ht09_flockwork_params(scaled=False):
"""Load the standard parameters to generate SocioPatterns HT09
surrogate networks using the Flockwork-P model with varying rates.
Parameters
----------
scaled : bool, optional
If this is `True`, load the rewiring rate `gamma(t)` and proba-
bility to reconnect `P(t)` rescaled with a corrective factor.
This factor emerges because in the original network the mean degree
is overestimated due to binning of edges. This overestimation
typically leads to an underestimation of `gamma(t)` and an
overestimation of `P(t)`.
Returns
-------
:obj:`dict`
The `kwargs` to pass to :func:`tacoma.flockwork_P_varying_rates`.
"""
if scaled:
fn = os.path.join(path, 'ht09_fwP_params_scaled.json')
else:
fn = os.path.join(path, 'ht09_fwP_params_unscaled.json')
return tc.load_json_dict(fn)
def load_hs13_dyn_RGG_params():
"""Load the standard parameters to generate SocioPatterns HS13
surrogate networks using the dynamic RGG model.
Returns
-------
:obj:`dict`
The `kwargs` to pass to :func:`tacoma.dynamic_RGG`.
"""
fn = os.path.join(path, 'ht09_dyn_RGG_params.json')
return tc.load_json_dict(fn)
def load_ht09_ZSBB_params():
"""Load the standard parameters to generate SocioPatterns HT09
surrogate networks using the ZSBB model.
Returns
-------
:obj:`dict`
The `kwargs` to pass to :func:`tacoma.ZSBB_model`.
"""
fn = os.path.join(path, 'ht09_zsbb_params.json')
return tc.load_json_dict(fn)
def load_dtu_ZSBB_params():
"""Load the standard parameters to generate surrogate networks
for one week of DTU data using the ZSBB model.
Returns
-------
:obj:`dict`
The `kwargs` to pass to :func:`tacoma.ZSBB_model`.
"""
fn = os.path.join(path, 'dtu_zsbb_params.json')
return tc.load_json_dict(fn)