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 sg1 agent x agent False (auto-detect) True (auto-detect) True (auto-detect) sg1 agent x event n/a False (auto-detect) n/a sg1 agent x knowledge n/a False (auto-detect) n/a sg1 agent x location n/a False (auto-detect) n/a sg1 agent x resource n/a False (auto-detect) n/a sg1 agent x task n/a True (auto-detect) n/a sg1 event x event False (auto-detect) True (auto-detect) True (auto-detect) sg1 event x resource n/a False (auto-detect) n/a sg1 knowledge x task n/a True (auto-detect) n/a sg1 resource x task n/a True (auto-detect) n/a sg1 task x event n/a True (auto-detect) n/a sg1 task x task False (auto-detect) True (auto-detect) True (auto-detect)
Produced by ORA developed at CASOS - Carnegie Mellon University