cityImage.calculate_centrality#

cityImage.calculate_centrality(nx_graph, measure='betweenness', weight='weight', radius=None, attribute=None, normalized=False, backend='igraph')[source]#

Calculate centrality values for a NetworkX graph.

Parameters:

  • nx_graph (Any) – Input NetworkX graph.

  • measure (str) – One of "betweenness", "closeness", "straightness", or "reach".

  • weight (str) – Edge attribute used as distance/weight.

  • radius (float | None) – Required for measure="reach".

  • attribute (str | None) – Required for measure="reach"; node attribute to sum over reachable nodes.

  • normalized (bool) – Normalisation flag. Preserves the existing straightness semantics and is also passed through to NetworkX betweenness when backend="networkx".

  • backend (str) – "igraph" preserves historical cityImage behaviour. "networkx" delegates standard betweenness/closeness directly to NetworkX. Reach and straightness always use the igraph-distance implementation because they are cityImage-specific helpers.

Returns:

Mapping from original NetworkX node IDs to centrality values.

Return type:

dict[Any, float]