Example #1
0
        public static void testBarabasiAlbertModel()
        {
            //Model specific variabels
            int  nodes          = 500;
            int  degree         = 2;
            bool allowReflexive = false;
            bool directed       = false;
            int  init           = 3;
            int  edges          = ((init) * (init - 1) / 2 + (degree * (nodes - init)));

            //Create the model
            BarabasiAlbertModel      bam;
            DegreeDistributionMetric metric = new DegreeDistributionMetric();

            for (int i = 100; i < 1000; i += 100)
            {
                bam = new BarabasiAlbertModel(i, allowReflexive, directed, init, degree);
                RandomNetwork random_network = bam.Generate();
                var           dddegree       = metric.Analyze(random_network, directed);
                Console.WriteLine(string.Format("{0};{1}", i, dddegree));
            }


            //for (int j = 4; j <= 10; j += 2)
            //{
            //    bam = new BarabasiAlbertModel(j, allowReflexive, directed, init, degree);

            //    RandomNetwork random_network = bam.Generate();
            //    DegreeDistributionMetric metric = new DegreeDistributionMetric();
            //    AverageDegreeMetric m = new AverageDegreeMetric();
            //    m.Analyze(random_network, directed);
            //    double c = metric.Analyze(random_network, directed);

            //}
        }
Example #2
0
        public static void testBaModel()
        {
            int    nodes          = 1000;
            double beta           = 0.7;
            int    degree         = 4;
            bool   allowReflexive = false;
            bool   directed       = false;

            BarabasiAlbertModel wsm = new BarabasiAlbertModel(nodes, allowReflexive, directed, 3, 5);
            var net = wsm.Generate();
            DegreeDistributionMetric metric = new DegreeDistributionMetric();
            var dddegree = metric.Analyze(net);

            foreach (var d in dddegree)
            {
                Console.WriteLine(string.Format("{0};{1}", d.Key, d.Value));
            }

            //var graphviz = new GraphvizAlgorithm<int, UndirectedEdge<int>>(random_network.MGraph);
            //string output = graphviz.Generate(new FileDotEngine(), "graph");

            int edges = 2 * degree * nodes;
        }
Example #3
0
        public static void testWattsStrogatzModel()
        {
            int    nodes          = 10000;
            double beta           = 0.7;
            int    degree         = 4;
            bool   allowReflexive = false;
            bool   directed       = false;

            ErdösRenyiModel wsm = new ErdösRenyiModel(nodes, beta);

            DegreeDistributionMetric metric = new DegreeDistributionMetric();
            var dddegree = wsm.DegreeDistribuition();

            /* foreach (var d in dddegree)
             * {
             *   Console.WriteLine(string.Format("{0};{1}",d.Key,d.Value));
             * }*/

            //var graphviz = new GraphvizAlgorithm<int, UndirectedEdge<int>>(random_network.MGraph);
            //string output = graphviz.Generate(new FileDotEngine(), "graph");

            int edges = 2 * degree * nodes;
        }