...one of the most highly
regarded and expertly designed C++ library projects in the
world.
— Herb Sutter and Andrei
Alexandrescu, C++
Coding Standards
template<typename RandomGenerator, typename Graph> class plod_iterator { public: typedef std::input_iterator_tag iterator_category; typedef std::pair<vertices_size_type, vertices_size_type> value_type; typedef const value_type& reference; typedef const value_type* pointer; typedef void difference_type; plod_iterator(); plod_iterator(RandomGenerator& gen, vertices_size_type n, double alpha, double beta, bool allow_self_loops = false); // Iterator operations reference operator*() const; pointer operator->() const; plod_iterator& operator++(); plod_iterator operator++(int); bool operator==(const plod_iterator& other) const; bool operator!=(const plod_iterator& other) const; };
This class template implements a generator for scale-free graphs using the Power Law Out Degree (PLOD) algorithm [63], suitable for initializing an adjacency_list or other graph structure with iterator-based initialization. A scale-free graph typically has a very skewed degree distribution, where few vertices have a very high degree and a large number of vertices have a very small degree. Many naturally evolving networks, such as the World Wide Web, are scale-free graphs, making these graphs a good model for certain networking problems.
The Power Law Out Degree (PLOD) algorithm generates a scale-free graph from three parameters, n, alpha, and beta, by allocating a certain number of degree "credits" to each vertex, drawn from a power-law distribution. It then creates edges between vertices, deducting a credit from each involved vertex (in the undirected case) or the source vertex (in the directed case). The number of credits assigned to a vertex is: beta*x-alpha, where x is a random value between 0 and n-1. The value of beta controls the y-intercept of the curve, so that increasing beta increases the average degree of vertices. The value of alpha controls how steeply the curve drops off, with larger values indicating a steeper curve. The web graph, for instance, has alpha ~ 2.72.
plod_iterator();
Constructs a past-the-end iterator.
plod_iterator(RandomGenerator& gen, vertices_size_type n, double alpha, double beta, bool allow_self_loops = false);
Constructs a PLOD generator iterator that creates a graph with n vertices. Probabilities are drawn from the random number generator gen. Self-loops are permitted only when allow_self_loops is true.
#include <boost/graph/adjacency_list.hpp> #include <boost/graph/plod_generator.hpp> #include <boost/random/linear_congruential.hpp> typedef boost::adjacency_list<> Graph; typedef boost::plod_iterator<boost::minstd_rand, Graph> SFGen; int main() { boost::minstd_rand gen; // Create graph with 100 nodes Graph g(SFGen(gen, 100, 2.5, 1000), SFGen(), 100); return 0; }
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Doug Gregor, Indiana University () Andrew Lumsdaine, Indiana University () |