Hello,

In the documentation of the LocalClusteringCoefficient algorithm, it is
said:


*The local clustering coefficient measures the connectedness of each
vertex’s neighborhood.Scores range from 0.0 (no edges between neighbors) to
1.0 (neighborhood is a clique).*

https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/batch/libs/
gelly.html#local-clustering-coefficient
<https://ci.apache.org/projects/flink/flink-docs-master/dev/libs/gelly/library_methods.html#local-clustering-coefficient>

However, upon running the algorithm (undirected version), I obtained values
above 1.

The result I got was this. As you can see, vertex 5113 has a score of 11:
(the input edges for the graph are shown further below - around *35 edges*):

(4907,(1,0))
*(5113,(11,0))*
(6008,(0,0))
(6064,(1,0))
(6065,(1,0))
(6107,(0,0))
(6192,(0,0))
(6252,(1,0))
(6279,(1,0))
(6465,(1,0))
(6545,(0,0))
(6707,(1,0))
(6715,(1,0))
(6774,(0,0))
(7088,(0,0))
(7089,(1,0))
(7171,(0,0))
(7172,(1,0))
(7763,(0,0))
(7976,(1,0))
(8056,(1,0))
(9748,(1,0))
(10191,(1,0))
(10370,(1,0))
(10371,(1,0))
(14310,(1,0))
(16785,(1,0))
(19801,(1,0))
(26284,(1,0))
(26562,(0,0))
(31724,(1,0))
(32443,(1,0))
(32938,(0,0))
(33855,(1,0))
(37929,(0,0))

This was from a small isolated test with these edges:

5113    6008
5113    6774
5113    32938
5113    6545
5113    7088
5113    37929
5113    26562
5113    6107
5113    7171
5113    6192
5113    7763
9748    5113
10191    5113
6064    5113
6065    5113
6279    5113
4907    5113
6465    5113
6707    5113
7089    5113
7172    5113
14310    5113
6252    5113
33855    5113
7976    5113
26284    5113
8056    5113
10371    5113
16785    5113
19801    5113
6715    5113
31724    5113
32443    5113
10370    5113

I am not sure what I may be doing wrong, but is there perhaps some form of
normalization lacking in my execution of:

org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient.Result;
org.apache.flink.graph.library.clustering.undirected.LocalClusteringCoefficient;

Am I supposed to divide all scores by the greatest score obtained by the
algorithm?

Thank you very much!

Miguel E. Coimbra
Email: miguel.e.coim...@gmail.com <miguel.e.coim...@ist.utl.pt>
Skype: miguel.e.coimbra

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