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resource_allocation_index¶

resource_allocation_index
(G, ebunch=None)[source]¶ Compute the resource allocation index of all node pairs in ebunch.
Resource allocation index of and is defined as
where denotes the set of neighbors of .
Parameters:  G (graph) – A NetworkX undirected graph.
 ebunch (iterable of node pairs, optional (default = None)) – Resource allocation index will be computed for each pair of nodes given in the iterable. The pairs must be given as 2tuples (u, v) where u and v are nodes in the graph. If ebunch is None then all nonexistent edges in the graph will be used. Default value: None.
Returns: piter – An iterator of 3tuples in the form (u, v, p) where (u, v) is a pair of nodes and p is their resource allocation index.
Return type: iterator
Examples
>>> import networkx as nx >>> G = nx.complete_graph(5) >>> preds = nx.resource_allocation_index(G, [(0, 1), (2, 3)]) >>> for u, v, p in preds: ... '(%d, %d) > %.8f' % (u, v, p) ... '(0, 1) > 0.75000000' '(2, 3) > 0.75000000'
References
[1] T. Zhou, L. Lu, Y.C. Zhang. Predicting missing links via local information. Eur. Phys. J. B 71 (2009) 623. http://arxiv.org/pdf/0901.0553.pdf