Graph preview · Show
Show / Hide      
Dataset Info

(EEC) trans_email.gml

Reference: Yin, H., Austin, R., Benson, J. L. & David, F. G. Local higher-order graph clustering. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 555–564 (ACM Press, 2017).

Data preview
Source Target Value
Communities Result
Group Size Nodes
Graph Information
Basic statistics · Calculate note

N and E are the number of nodes and links. 〈k〉 and 〈d〉 are the average degree and the average distance, respectively. C and r are the average clustering coefficient and the assortative coefficient. H is the degree heterogeneity. βc is the epidemic threshold of the SIR model.

N 986
E 16064
<k> 32.5842
<d> 2.5869
<C> 0.4071
r -0.0257
H 2.2912
beta_c 0.0136
Degree Histogram · Plot


Modularity (Q):

Runtime (s):

Export Format