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7<title>Parallel BGL R-MAT generator</title>
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11<div class="document" id="logo-r-mat-generator">
12<h1 class="title"><a class="reference external" href="http://www.osl.iu.edu/research/pbgl"><img align="middle" alt="Parallel BGL" class="align-middle" src="pbgl-logo.png" /></a> R-MAT generator</h1>
13
14<!-- Copyright (C) 2004-2009 The Trustees of Indiana University.
15Use, modification and distribution is subject to the Boost Software
16License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
17http://www.boost.org/LICENSE_1_0.txt) -->
18<pre class="literal-block">
19 template&lt;typename RandomGenerator, typename Graph&gt;
20 class rmat_iterator
21 {
22 public:
23 typedef std::input_iterator_tag iterator_category;
24 typedef std::pair&lt;vertices_size_type, vertices_size_type&gt; value_type;
25 typedef const value_type&amp; reference;
26 typedef const value_type* pointer;
27 typedef void difference_type;
28
29 rmat_iterator();
30 rmat_iterator(RandomGenerator&amp; gen, vertices_size_type n,
31 edges_size_type m, double a, double b, double c,
32 double d, bool permute_vertices = true);
33 // Iterator operations
34 reference operator*() const;
35 pointer operator-&gt;() const;
36 rmat_iterator&amp; operator++();
37 rmat_iterator operator++(int);
38 bool operator==(const rmat_iterator&amp; other) const;
39 bool operator!=(const rmat_iterator&amp; other) const;
40};
41</pre>
42<p>This class template implements a generator for R-MAT graphs <a class="citation-reference" href="#czf04" id="id1">[CZF04]</a>,
43suitable for initializing an adjacency_list or other graph structure
44with iterator-based initialization. An R-MAT graph has a scale-free
45distribution w.r.t. vertex degree and is implemented using
46Recursive-MATrix partitioning.</p>
47<div class="section" id="where-defined">
48<h1>Where Defined</h1>
49<p>&lt;<tt class="docutils literal"><span class="pre">boost/graph/rmat_graph_generator.hpp</span></tt>&gt;</p>
50</div>
51<div class="section" id="constructors">
52<h1>Constructors</h1>
53<pre class="literal-block">
54rmat_iterator();
55</pre>
56<p>Constructs a past-the-end iterator.</p>
57<pre class="literal-block">
58rmat_iterator(RandomGenerator&amp; gen, vertices_size_type n,
59 edges_size_type m, double a, double b, double c,
60 double d, bool permute_vertices = true);
61</pre>
62<p>Constructs an R-MAT generator iterator that creates a graph with <tt class="docutils literal"><span class="pre">n</span></tt>
63vertices and <tt class="docutils literal"><span class="pre">m</span></tt> edges. <tt class="docutils literal"><span class="pre">a</span></tt>, <tt class="docutils literal"><span class="pre">b</span></tt>, <tt class="docutils literal"><span class="pre">c</span></tt>, and <tt class="docutils literal"><span class="pre">d</span></tt> represent
64the probability that a generated edge is placed of each of the 4
65quadrants of the partitioned adjacency matrix. Probabilities are
66drawn from the random number generator gen. Vertex indices are
67permuted to eliminate locality when <tt class="docutils literal"><span class="pre">permute_vertices</span></tt> is true.</p>
68</div>
69<div class="section" id="example">
70<h1>Example</h1>
71<pre class="literal-block">
72#include &lt;boost/graph/adjacency_list.hpp&gt;
73#include &lt;boost/graph/rmat_graph_generator.hpp&gt;
74#include &lt;boost/random/linear_congruential.hpp&gt;
75
76typedef boost::adjacency_list&lt;&gt; Graph;
77typedef boost::rmat_iterator&lt;boost::minstd_rand, Graph&gt; RMATGen;
78
79int main()
80{
81 boost::minstd_rand gen;
82 // Create graph with 100 nodes and 400 edges
83 Graph g(RMATGen(gen, 100, 400, 0.57, 0.19, 0.19, 0.05), RMATGen(), 100);
84 return 0;
85}
86</pre>
87</div>
88<div class="section" id="bibliography">
89<h1>Bibliography</h1>
90<table class="docutils citation" frame="void" id="czf04" rules="none">
91<colgroup><col class="label" /><col /></colgroup>
92<tbody valign="top">
93<tr><td class="label"><a class="fn-backref" href="#id1">[CZF04]</a></td><td>D Chakrabarti, Y Zhan, and C Faloutsos. R-MAT: A Recursive
94Model for Graph Mining. In Proceedings of 4th International Conference
95on Data Mining, pages 442--446, 2004.</td></tr>
96</tbody>
97</table>
98<hr class="docutils" />
99<p>Copyright (C) 2009 The Trustees of Indiana University.</p>
100<p>Authors: Nick Edmonds and Andrew Lumsdaine</p>
101</div>
102</div>
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105Generated on: 2009-05-31 00:21 UTC.
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