TY - DATA T1 - Two sets of histograms showing the sensitivity () and edge balance for the networks in which long limit cycles are suppressed. PY - 2012/05/07 AU - Jamie X. Luo AU - Matthew S. Turner UR - https://plos.figshare.com/articles/figure/_Two_sets_of_histograms_showing_the_sensitivity_and_edge_balance_for_the_networks_in_which_long_limit_cycles_are_suppressed_/311907 DO - 10.1371/journal.pone.0036010.g006 L4 - https://ndownloader.figshare.com/files/641408 KW - sets KW - histograms KW - networks KW - cycles N2 - The 1000 networks of 5 nodes were evolved to maximise sensitivity to edge loses, with a fitness discount factor against long limit cycles. Panel A shows that while most networks are able to increase their sensitivity () to edge loses they are unable to achieve optimal sensitivity without the longer limit cycles. Panel B shows that, as under the previous evolutionary criteria the networks become more topologically balanced in order to increase their sensitivity. indicates the number of networks. ER -