dispersion(G, u=None, v=None, normalized=True, alpha=1.0, b=0.0, c=0.0)¶
Calculate dispersion between
A link between two actors (
v) has a high dispersion when their mutual ties (
t) are not well connected with each other.
G (graph) – A NetworkX graph.
u (node, optional) – The source for the dispersion score (e.g. ego node of the network).
v (node, optional) – The target of the dispersion score if specified.
normalized (bool) – If True (default) normalize by the embededness of the nodes (u and v).
nodes – If u (v) is specified, returns a dictionary of nodes with dispersion score for all “target” (“source”) nodes. If neither u nor v is specified, returns a dictionary of dictionaries for all nodes ‘u’ in the graph with a dispersion score for each node ‘v’.
- Return type
This implementation follows Lars Backstrom and Jon Kleinberg 1. Typical usage would be to run dispersion on the ego network \(G_u\) if \(u\) were specified. Running
dispersion()with neither \(u\) nor \(v\) specified can take some time to complete.