ConceptIndicators: Concepts indicators of a Social Cognitive Map

In cogmapr: Cognitive Mapping Tools Based on Coding of Textual Sources

Description

Compute the indicators of concepts of a Social Cognitive Map

Usage

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

Arguments

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.

Details

Compute the indicators of concepts of a Social Cognitive Map (centrality, indegree, outdegree). It build a user friendly data frame. It includes the 'receiver' and the transmitter character of each vetex. The receiver character of a concept is calculated as the part of the indegree of this concept on its centrality. The transmitter character of a concept is calculated as the part of the outdegree of this concept on its centrality.

(add formulae)

Value

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

Examples

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

ConceptIndicators(my.project)

cogmapr documentation built on Jan. 4, 2022, 5:06 p.m.