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
stargateagent x agentFalse (auto-detect)True (auto-detect)True (auto-detect)
stargateagent x eventn/aFalse (auto-detect)n/a
stargateagent x knowledgen/aFalse (auto-detect)n/a
stargateagent x locationn/aFalse (auto-detect)n/a
stargateagent x resourcen/aFalse (auto-detect)n/a
stargateagent x taskn/aFalse (auto-detect)n/a
stargateevent x eventFalse (auto-detect)True (auto-detect)True (auto-detect)
stargateevent x resourcen/aFalse (auto-detect)n/a
stargateknowledge x taskn/aTrue (auto-detect)n/a
stargateresource x taskn/aTrue (auto-detect)n/a
stargatetask x eventn/aTrue (auto-detect)n/a
stargatetask x taskFalse (auto-detect)True (auto-detect)True (auto-detect)

Produced by ORA developed at CASOS - Carnegie Mellon University