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.
Network Properties
Meta-network Network Symmetric Binary Ignore Self-loops NewcombFraternity NEWC0 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC1 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC2 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC3 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC4 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC5 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC6 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC7 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC8 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC10 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC11 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC12 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC13 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC14 True (auto-detect) False (auto-detect) True (auto-detect) NewcombFraternity NEWC15 True (auto-detect) False (auto-detect) True (auto-detect)
Produced by ORA developed at CASOS - Carnegie Mellon University