Data Description

Data Description

This page contains a description of the transformations and settings for each network prior to calculating measures. Auto-detect means that the network was not modified, but only measured to determine whether each property is true or false. Note that symmetry and self-loops only apply to uni-modal networks. These settings affect measure values.

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Network Properties

Meta-networkNetworkSymmetricBinaryIgnore Self-loops
krackfrACTOR#1False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#2False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#3False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#4False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#5False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#6False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#7False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#8False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#9False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTO#10False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#11False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#12False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#13False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#14False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#15False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#16False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#17False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTO#18False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#19False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#20False (auto-detect)True (auto-detect)True (auto-detect)
krackfrACTOR#21False (auto-detect)True (auto-detect)True (auto-detect)

Produced by ORA developed at CASOS - Carnegie Mellon University