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diff --git a/biblio/33380456.mdwn b/biblio/33380456.mdwn
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+[[!meta title="True scale-free networks hidden by finite size effects."]]
+[[!tag network power_law]]
+
+Serafino M, Cimini G, Maritan A, Rinaldo A, Suweis S, Banavar JR, Caldarelli G.
+
+Proc Natl Acad Sci U S A. 2021 Jan 12;118(2):e2013825118. doi:10.1073/pnas.2013825118
+
+True scale-free networks hidden by finite size effects.
+
+[[!pmid 33380456 desc="Sub-sampling of 185 different networks shows that in half of them the degree distribution is scale-invariant."]]

diff --git a/tags/power_law.mdwn b/tags/power_law.mdwn
index 5d38526313ea6e7f2e3554148c4b84acf98a9d6c..a4df2b1125030e1b4c94d1bcf692401e4a8307d1 100644 (file)
--- a/tags/power_law.mdwn
+++ b/tags/power_law.mdwn
@@ -11,6 +11,7 @@ Bonner (2002)|biblio/12136033]] to follow a power law.  [[Balwierz et al.,
 normalisation method fitting the data to the power law.
 
 Power laws are also seen in other areas, for instance in parameters describing
-network topologies ([[Barabási & Albert, 1999|biblio/10521342]]).
+network topologies ([[Barabási & Albert, 1999|biblio/10521342]], [[Serafino and
+coll., 2021|biblio/33380456]]).
 
 [[!inline pages="tagged(power_law)" limit=0]]