Evolution of structural measures for Ebtwmax varying.
Christine Largeron
Pierre-Nicolas Mougel
Reihaneh Rabbany
Osmar R. Zaïane
10.1371/journal.pone.0122777.g005
https://plos.figshare.com/articles/figure/_Evolution_of_structural_measures_for_E_b_t_w_m_a_x_varying_/1385887
<p>
</p><p></p><p></p><p><mi>E</mi></p><p><mi>w</mi><mi>t</mi><mi>h</mi></p><p><mi>m</mi><mi>a</mi><mi>x</mi></p><p></p><p></p><p></p> is fixed to 20 to ensure that the number of within edges remains higher than the number of between edges. The evolution of the average clustering coefficient is presented on the left side. The evolution of the modularity is presented on the right side.<p></p>
2015-04-20 03:19:11
Synthetic generators
applications data
network properties
community structure
world networks
Generating Attributed Networks
information network