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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Expected Degree Sequence\n\nRandom graph from given degree sequence.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import networkx as nx\n\n# make a random graph of 500 nodes with expected degrees of 50\nn = 500 # n nodes\np = 0.1\nw = [p * n for i in range(n)] # w = p*n for all nodes\nG = nx.expected_degree_graph(w) # configuration model\nprint(\"Degree histogram\")\nprint(\"degree (#nodes) ****\")\ndh = nx.degree_histogram(G)\nfor i, d in enumerate(dh):\n print(f\"{i:2} ({d:2}) {'*'*d}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
|
