index.egonet: Compute Burt's indexes (effective size and aggregate...
In egonet: Tool for ego-centric measures in Social Network Analysis

Description Usage Arguments Value Author(s) References Examples

View source: R/codiciegonet.r

Compute Burt's indexes (effective size and aggregate constraint) and other measure from sna package. It also allow to restrict the analysis to one social circle identified by the name of the alters.

1	index.egonet(dat, index = list("effsize", "constraint", "outdegree", "indegree", "efficiency", "hierarchy", "centralization", "gden", "ego.gden"), subset = NULL, ego.name = "EGO")

`dat`	graph to be analyzed having row and column names in the same order.
`index`	is a list containing prespecified index functions. `effsize` and `constraint` are defined in as in Burt (1992) \ `outdegree` and `indegree` make a call of `degree(dat, cmode="outdegree")` and `degree(dat, cmode="indegree")` and take the element corresponding to `ego.name`\ `ego.gden` applies `gden` in a matrix without `ego.name` connections. \ Other indeces are call of the homonimous functions of package `sna`. \ If the generic element `is.call(index[[h]])` is `TRUE`, it will be evaluated in the global environment: `eval(index[[h]],envir =.GlobalEnv)` (see also example below)
`subset`	Restricts the analysis to the nodes with at least one among the elements of `vector` in the name. If `vector = NULL` - the default - all the nodes of the graph are comprised.
`ego.name`	column and row name given to the ego subject. The default is `EGO`

The requested indices.

A. Sciandra, F. Gioachin, L. Finos <livio@stat.unipd.it>

Burt, R.S. (1992) ”Structural Holes. The Social Structure of Competition”, Cambridge (MA), Harvard University Press.

# make a toy dataset
egomat <-  matrix(c(0,1,1,1,0,0,1,0,0),3,3)
colnames(egomat) <- rownames(egomat) <- c("EGO", "1P", "1A")

index.egonet(egomat)

# an example with self defined index 
my.outdegree <- function(dat) degree(dat,cmod="outdegree")[1]
index.egonet(egomat,index=c("effsize","constraint","outdegree","indegree","efficiency", "centralization", "gden", "ego.gden", my.outdegree=call("my.outdegree",dat=egomat)))

#Restricts the \code{outdegree} and \code{efficiency} to "EGO" and nodes with "P" in the name
index.egonet(egomat,index=c("outdegree","efficiency"),subset="P")