adjacency: Calculate adjacency of units
In kasperwelbers/network-tools: Network analysis tools

Description Usage Arguments Value

Calculate the adjacency (or coincidence) of units based on the contexts in which the units occured, and optionally a value for how often they occured in this context. Various measures for calculating the adjacency/similarity are possible. Output is returned either as an adjacency matrix or as a graph in the igraph format.

1 2	adjacency(unit.vars, context, values = NULL, measure = "coincidence_count", as.graph = FALSE)

`unit.vars`	Vectors representing the units. Can be a single vector or multiple vectors (as a data.frame or list). Units are then defined as unique combinations of vectors (e.g., first and last name of a person)
`context`	A vector representing the context in which the units occured. For instance, conversations in which they participated or communities they are members of.
`values`	Optional, a numerical vector with values for how often a unit occured in the context.
`measure`	The measure for adjacency that is used. Use 'coincidence_count' to get the number of context in which units co-occured. To take into account how many times units co-occured in the same context, 'cosine' is advised.
`as.graph`	Logical. If TRUE, the output is returned as a graph. Otherwise output is a list containing the adjacency matrix and vectors representing its rows/columns