| measure_diverse_node | R Documentation |
These functions offer ways to measure the heterogeneity of an attribute across a network, within groups of a network, or the distribution of ties across this attribute:
node_by_richness() measures the number of unique categories
of an attribute to which each node is connected.
node_by_diversity() measures the heterogeneity of each node's
local neighbourhood.
node_by_richness(.data, attribute)
node_by_diversity(
.data,
attribute,
diversity = c("blau", "teachman", "variation", "gini")
)
.data |
A network object of class |
attribute |
Name of a nodal attribute, mark, measure, or membership vector. |
diversity |
Which method to use for |
A node_measure numeric vector the length of the nodes in the network,
providing the scores for each node.
If the network is labelled,
then the scores will be labelled with the nodes' names.
Other diversity:
measure_assort_net,
measure_assort_node,
measure_diverse_net
Other measures:
measure_assort_net,
measure_assort_node,
measure_breadth,
measure_broker_node,
measure_broker_tie,
measure_brokerage,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
measure_centralities_between,
measure_centralities_close,
measure_centralities_degree,
measure_centralities_eigen,
measure_closure,
measure_closure_node,
measure_cohesion,
measure_core,
measure_diffusion_infection,
measure_diffusion_net,
measure_diffusion_node,
measure_diverse_net,
measure_features,
measure_fragmentation,
measure_hierarchy,
measure_periods
Other nodal:
mark_core,
mark_degree,
mark_diff,
mark_nodes,
mark_select_node,
measure_assort_node,
measure_broker_node,
measure_brokerage,
measure_central_between,
measure_central_close,
measure_central_degree,
measure_central_eigen,
measure_closure_node,
measure_core,
measure_diffusion_node,
member_brokerage,
member_cliques,
member_community,
member_community_hier,
member_community_non,
member_components,
member_core,
member_diffusion,
member_equivalence,
motif_brokerage_node,
motif_exposure,
motif_node,
motif_path
node_by_richness(ison_networkers, "Discipline")
marvel_friends <- to_unsigned(to_uniplex(fict_marvel, "relationship"), "positive")
node_by_diversity(marvel_friends, "Gender")
node_by_diversity(marvel_friends, "Attractive")
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