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