Convert conflictNet object to a statnet network object

Usage

prep_for_statnet(netlet, add_nodal_attribs = TRUE, add_dyad_attribs = TRUE)

Arguments

netlet: An R object
add_nodal_attribs: Add any nodal attributes from netlet to igraph object. Default is TRUE.
add_dyad_attribs: Add any dyad attributes from netlet to igraph object. Default is TRUE.

Value

statnet network object

Author

Ha Eun Choi, Cassy Dorff, Colin Henry, Shahryar Minhas

Examples


# load data
data(icews)

# cross-sectional case
icews_10 <- icews[icews$year==2010,]

# create netify object
dvars = c( 'matlCoop', 'verbConf', 'matlConf' )
nvars = c( 'i_polity2','i_log_gdp', 'i_log_pop' )
verbCoop_net = netify( 
  icews_10,
  actor1='i', actor2='j', 
  symmetric=FALSE, 
  weight='verbCoop',
  dyad_vars = dvars,
  dyad_vars_symmetric=rep(FALSE, length(dvars)),
  nodal_vars = nvars )

# convert to a statnet network object
ntwk <- prep_for_statnet(verbCoop_net)
ntwk
#>  Network attributes:
#>   vertices = 152 
#>   directed = TRUE 
#>   hyper = FALSE 
#>   loops = FALSE 
#>   multiple = FALSE 
#>   bipartite = FALSE 
#>   verbCoop: 152x152 matrix
#>   matlCoop: 152x152 matrix
#>   verbConf: 152x152 matrix
#>   matlConf: 152x152 matrix
#>   total edges= 9976 
#>     missing edges= 0 
#>     non-missing edges= 9976 
#> 
#>  Vertex attribute names: 
#>     i_log_gdp i_log_pop i_polity2 vertex.names 
#> 
#>  Edge attribute names not shown 

# longitudinal case
verbCoop_longit_net = netify(
  icews,
  actor1='i', actor2='j', time='year',
  symmetric=FALSE, 
  weight='verbCoop',
  dyad_vars = dvars,
  dyad_vars_symmetric=rep(FALSE, length(dvars)),
  nodal_vars = nvars )

# convert to a statnet network object
ntwk_longit <- prep_for_statnet(verbCoop_longit_net)

# output in the longitudinal case is 
# a list of statnet network objects
class(ntwk_longit)
#> [1] "list"
names(ntwk_longit)
#>  [1] "2002" "2003" "2004" "2005" "2006" "2007" "2008" "2009" "2010" "2011"
#> [11] "2012" "2013" "2014"
ntwk_longit[['2002']]
#>  Network attributes:
#>   vertices = 152 
#>   directed = TRUE 
#>   hyper = FALSE 
#>   loops = FALSE 
#>   multiple = FALSE 
#>   bipartite = FALSE 
#>   verbCoop: 152x152 matrix
#>   matlCoop: 152x152 matrix
#>   verbConf: 152x152 matrix
#>   matlConf: 152x152 matrix
#>   total edges= 8692 
#>     missing edges= 0 
#>     non-missing edges= 8692 
#> 
#>  Vertex attribute names: 
#>     i_log_gdp i_log_pop i_polity2 vertex.names 
#> 
#>  Edge attribute names not shown