{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Degree Sequence\n\nRandom graph from given degree sequence.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\nimport networkx as nx\n\n# Specify seed for reproducibility\nseed = 668273\n\nz = [5, 3, 3, 3, 3, 2, 2, 2, 1, 1, 1]\nprint(nx.is_graphical(z))\n\nprint(\"Configuration model\")\nG = nx.configuration_model(\n z, seed=seed\n) # configuration model, seed for reproducibility\ndegree_sequence = [d for n, d in G.degree()] # degree sequence\nprint(f\"Degree sequence {degree_sequence}\")\nprint(\"Degree histogram\")\nhist = {}\nfor d in degree_sequence:\n if d in hist:\n hist[d] += 1\n else:\n hist[d] = 1\nprint(\"degree #nodes\")\nfor d in hist:\n print(f\"{d:4} {hist[d]:6}\")\n\npos = nx.spring_layout(G, seed=seed) # Seed layout for reproducibility\nnx.draw(G, pos=pos)\nplt.show()"
]
}
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