Reading pajek and Ucinet files, this function returns weighted edgelists in the form of data frames including a data frame of the vertices. (function on development)
read_pajek(x)
read_ml(x)
From the pajek manual http://mrvar.fdv.uni-lj.si/pajek/pajekman.pdf
In the case of read_pajek
, a list with three elements
A data frame with \(n\) rows and two columns: id and label
If not null, a list of data frames with three columns: ego, alter, w (weight)
If not null, a list of data frame with three columns: ego, alter, w (weight)
For read_ml
, a list with two elements:
An array with the graph
A list with metadata
Since .net files allow working with multi-relational networks (more than one class of edge), the function returns lists of edges and edgeslist with the corresponding tag on the .net file. For example, if the .net file contains
*Arcslist :9 "SAMPPR"
...
*Arcslist :10 "SAMNPR"
The output will include data frames of edgelists with those tags.
Other Foreign:
igraph
,
network
,
read_ucinet_head()
# From .net: Sampson monastery data from UCINET dataset ---------------------
# Reading the arcs/edges format
path <- system.file("extdata", "SAMPSON.NET", package = "netdiffuseR")
SAMPSON <- read_pajek(path)
# Reading the arcslist/edgelist format
path <- system.file("extdata", "SAMPSONL.NET", package = "netdiffuseR")
SAMPSONL <- read_pajek(path)
# From DL (UCINET): Sampson monastery data (again) --------------------------
path <- system.file("extdata", "SAMPSON.DAT", package = "netdiffuseR")
SAMPSONL <- read_ml(path)