GraphIndicators: Graph indicators of a social cognitive map
In cogmapr: Cognitive Mapping Tools Based on Coding of Textual Sources

Description Usage Arguments Details Value Examples

Compute the graph indicators of a Social Cognitive Map (at graph level)

1	GraphIndicators(project, filters = NULL, units = "all", weighted.icm = FALSE)

`project`	A QDA project, a list as generated by the ProjectCMap function.
`filters`	A list of named strings that will filter the relationships showed in the SCM. e.g. =list(coding_class = "A_coding_class", document_part = "A_document_part")=. To date, these filters are linked to the nature of relationships.
`units`	A string vector giving the names of the units (i.e. classes linked to documents) that will be include in the SCM. It is a second type of filter.
`weighted.icm`	A boolean. If FALSE, the weight of the relationships in the ICM will be fixed to 1.

Compute some indicators from the graph theory and applies them to a Social Cognitive Map :

dimension : the number of vertices
n_transmitter : the number of transmitter vertices
n_receiver : the number of receiver vertices
n_ordinary : the number of ordinary vertices (transmitter & receiver)
connections : the number of edges
density : ...
complexity_a : ....
complexity_b : ...
hierarchy : ...

(== add formulae ==)

Source : Oezesmi & Oezesmi, 2004

A data frame with the value of some indicators linked to the map

project_name <- "a_new_project"
main_path <- paste0(system.file("testdata", package = "cogmapr"), '/')
my.project <- ProjectCMap(main_path, project_name)

GraphIndicators(my.project)
GraphIndicators(my.project, units = "Belgium")
GraphIndicators(my.project, units = "Québec")