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+# -*- coding: utf-8 -*-
+"""
+Generators for random intersection graphs.
+"""
+# Copyright (C) 2011 by
+# Aric Hagberg <hagberg@lanl.gov>
+# Dan Schult <dschult@colgate.edu>
+# Pieter Swart <swart@lanl.gov>
+# All rights reserved.
+# BSD license.
+import random
+import networkx as nx
+__author__ = "\n".join(['Aric Hagberg (hagberg@lanl.gov)'])
+
+__all__ = ['uniform_random_intersection_graph',
+ 'k_random_intersection_graph',
+ 'general_random_intersection_graph',
+ ]
+
+def uniform_random_intersection_graph(n, m, p, seed=None):
+ """Return a uniform random intersection graph.
+
+ Parameters
+ ----------
+ n : int
+ The number of nodes in the first bipartite set (nodes)
+ m : int
+ The number of nodes in the second bipartite set (attributes)
+ p : float
+ Probability of connecting nodes between bipartite sets
+ seed : int, optional
+ Seed for random number generator (default=None).
+
+ See Also
+ --------
+ gnp_random_graph
+
+ References
+ ----------
+ .. [1] K.B. Singer-Cohen, Random Intersection Graphs, 1995,
+ PhD thesis, Johns Hopkins University
+ .. [2] Fill, J. A., Scheinerman, E. R., and Singer-Cohen, K. B.,
+ Random intersection graphs when m = !(n):
+ An equivalence theorem relating the evolution of the g(n, m, p)
+ and g(n, p) models. Random Struct. Algorithms 16, 2 (2000), 156–176.
+ """
+ G=nx.bipartite_random_graph(n, m, p, seed=seed)
+ return nx.projected_graph(G, range(n))
+
+def k_random_intersection_graph(n,m,k):
+ """Return a intersection graph with randomly chosen attribute sets for
+ each node that are of equal size (k).
+
+ Parameters
+ ----------
+ n : int
+ The number of nodes in the first bipartite set (nodes)
+ m : int
+ The number of nodes in the second bipartite set (attributes)
+ k : float
+ Size of attribute set to assign to each node.
+ seed : int, optional
+ Seed for random number generator (default=None).
+
+ See Also
+ --------
+ gnp_random_graph, uniform_random_intersection_graph
+
+ References
+ ----------
+ .. [1] Godehardt, E., and Jaworski, J.
+ Two models of random intersection graphs and their applications.
+ Electronic Notes in Discrete Mathematics 10 (2001), 129--132.
+ """
+ G = nx.empty_graph(n + m)
+ mset = range(n,n+m)
+ for v in range(n):
+ targets = random.sample(mset, k)
+ G.add_edges_from(zip([v]*len(targets), targets))
+ return nx.projected_graph(G, range(n))
+
+def general_random_intersection_graph(n,m,p):
+ """Return a random intersection graph with independent probabilities
+ for connections between node and attribute sets.
+
+ Parameters
+ ----------
+ n : int
+ The number of nodes in the first bipartite set (nodes)
+ m : int
+ The number of nodes in the second bipartite set (attributes)
+ p : list of floats of length m
+ Probabilities for connecting nodes to each attribute
+ seed : int, optional
+ Seed for random number generator (default=None).
+
+ See Also
+ --------
+ gnp_random_graph, uniform_random_intersection_graph
+
+ References
+ ----------
+ .. [1] Nikoletseas, S. E., Raptopoulos, C., and Spirakis, P. G.
+ The existence and efficient construction of large independent sets
+ in general random intersection graphs. In ICALP (2004), J. D´ıaz,
+ J. Karhum¨aki, A. Lepist¨o, and D. Sannella, Eds., vol. 3142
+ of Lecture Notes in Computer Science, Springer, pp. 1029–1040.
+ """
+ if len(p)!=m:
+ raise ValueError("Probability list p must have m elements.")
+ G = nx.empty_graph(n + m)
+ mset = range(n,n+m)
+ for u in range(n):
+ for v,q in zip(mset,p):
+ if random.random()<q:
+ G.add_edge(u,v)
+ return nx.projected_graph(G, range(n))
+