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annotate planemo/lib/python3.7/site-packages/networkx/algorithms/smetric.py @ 1:56ad4e20f292 draft

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"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author guerler
date Fri, 31 Jul 2020 00:32:28 -0400
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1 import networkx as nx
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2 #from networkx.generators.smax import li_smax_graph
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5 def s_metric(G, normalized=True):
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6 """Returns the s-metric of graph.
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7
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8 The s-metric is defined as the sum of the products deg(u)*deg(v)
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9 for every edge (u,v) in G. If norm is provided construct the
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10 s-max graph and compute it's s_metric, and return the normalized
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11 s value
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12
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13 Parameters
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14 ----------
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15 G : graph
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16 The graph used to compute the s-metric.
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17 normalized : bool (optional)
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18 Normalize the value.
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19
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20 Returns
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21 -------
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22 s : float
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23 The s-metric of the graph.
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24
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25 References
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26 ----------
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27 .. [1] Lun Li, David Alderson, John C. Doyle, and Walter Willinger,
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28 Towards a Theory of Scale-Free Graphs:
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29 Definition, Properties, and Implications (Extended Version), 2005.
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30 https://arxiv.org/abs/cond-mat/0501169
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31 """
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32 if normalized:
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33 raise nx.NetworkXError("Normalization not implemented")
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34 # Gmax = li_smax_graph(list(G.degree().values()))
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35 # return s_metric(G,normalized=False)/s_metric(Gmax,normalized=False)
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36 # else:
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37 return float(sum([G.degree(u) * G.degree(v) for (u, v) in G.edges()]))