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