summary.cascade: Summarize a cascade object

In desmarais-lab/NetworkInference: Inferring Latent Diffusion Networks

Description

Generates summary statistics for single cascades and across cascades in a collection, contained in a cascades object.

Usage

## S3 method for class 'cascade'
summary(object, quiet = FALSE, ...)

Arguments

object	object of class cascade to be summarized.
quiet	logical, if FALSE summary stats are printed to std out.
...	Additional arguments passed to summary.

Value

Prints cascade summary information to the screen (if quiet = FALSE). '# cascades' is the number of cascades in the object, '# nodes' is the number of nodes in the system (nodes that can theoretically experience an event), '# nodes in cascades' is the number of unique nodes of the system that experienced an event and '# possible edges' is the number of edges that are possible given the cascade data (see count_possible_edges for details.).

Additional summaries for each cascade are returned invisibly. cascade), length (length of the cascade as an integer of how many nodes experienced and event) and n_ties (number of tied event times per cascade).

Examples

data(cascades)
summary(cascades)

desmarais-lab/NetworkInference documentation built on May 15, 2019, 5:05 a.m.