make_threshold_profile {surveygraph} | R Documentation |
make_threshold_profile()
outputs properties of the agent or symbolic network
as a function of similarity threshold.
make_threshold_profile(data, layer)
data |
A data frame corresponding to the attitudes held by agents with respect to a number of items |
layer |
A string flag specifying the type of network to be extracted,
|
Note that this routine is expensive on large graphs. We study networks over the
full range of similarity thresholds [-1, 1]
, and as a result, produce
networks that are complete at the lower limit of that range. Note that by default we
will subsample the provided survey with the C++ implementation in order to
avoid memory issues. We could then allow a flag that turns off the subsampling
step, at the user's peril.
A data frame containing properties of the agent
or symbolic
network as a
function of the similarity threshold. In particular, it contains three columns
named
threshold
, the value of the similarity threshold
ad
, the average degree resulting from threshold
, and
lcc
, the size of the largest connected component resulting from
threshold
S <- make_synthetic_data(20, 5)