Build a network object from a proto_net

core_as_network(proto_net)

Arguments

proto_net

Any {COREnets} data set obtained via get_data().

Value

<network>

Examples

drugnet_proto_net <- get_data("drugnet") core_as_network(drugnet_proto_net)
#> Network attributes: #> vertices = 293 #> directed = TRUE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 337 #> missing edges= 0 #> non-missing edges= 337 #> #> Vertex attribute names: #> Ethnicity Gender HasTie hr_ethnicity hr_gender hr_has_tie node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
# currently supported networks ============================================== core_as_network(get_data("anabaptists"))
#> Network attributes: #> vertices = 67 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 183 #> missing edges= 0 #> non-missing edges= 183 #> #> Vertex attribute names: #> Anabaptist apocalyptic based_in believer_baptist Denck hr_based_in hr_group hr_origin Hut Hutterite is_anabaptist is_apocalyptic is_believer_baptist is_munster_rebel is_violence_sanctioning Lutheran Melchiorite munster_rebel node_class origin Other Anabaptist Other Protestant Reformed Swiss Brethren Tradition vertex.names violence_sanctioning #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("cocaine_smuggling_acero"))
#> Network attributes: #> vertices = 25 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 37 #> missing edges= 0 #> non-missing edges= 37 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("cocaine_smuggling_jake"))
#> Network attributes: #> vertices = 38 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 50 #> missing edges= 0 #> non-missing edges= 50 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("cocaine_smuggling_juanes"))
#> Network attributes: #> vertices = 51 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 93 #> missing edges= 0 #> non-missing edges= 93 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("cocaine_smuggling_mambo"))
#> Network attributes: #> vertices = 31 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 58 #> missing edges= 0 #> non-missing edges= 58 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("harry_potter_death_eaters"))
#> Network attributes: #> vertices = 26 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 128 #> missing edges= 0 #> non-missing edges= 128 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class weight
core_as_network(get_data("harry_potter_dumbledores_army"))
#> Network attributes: #> vertices = 29 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 282 #> missing edges= 0 #> non-missing edges= 282 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class weight
core_as_network(get_data("montreal_street_gangs"))
#> Network attributes: #> vertices = 35 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 78 #> missing edges= 0 #> non-missing edges= 78 #> #> Vertex attribute names: #> Allegiances Ethnicity hr_allegiances hr_gang_ethnicity hr_territories node_class Territories vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("november17"))
#> Network attributes: #> vertices = 22 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 66 #> missing edges= 0 #> non-missing edges= 66 #> #> Vertex attribute names: #> Faction hr_faction hr_resources hr_role node_class Resources Role vertex.names #> #> Edge attribute names: #> edge_class from_class to_class
core_as_network(get_data("siren"))
#> Network attributes: #> vertices = 44 #> directed = FALSE #> hyper = FALSE #> loops = FALSE #> multiple = FALSE #> bipartite = FALSE #> total edges= 103 #> missing edges= 0 #> non-missing edges= 103 #> #> Vertex attribute names: #> node_class vertex.names #> #> Edge attribute names: #> edge_class from_class to_class