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
startup_companyagent x agentTrue (auto-detect)True (auto-detect)True (auto-detect)
startup_companyagent x knowledgen/aTrue (auto-detect)n/a
startup_companyagent x taskFalse (auto-detect)True (auto-detect)False (auto-detect)
startup_companyknowledge x taskn/aTrue (auto-detect)n/a
startup_companytask x taskFalse (auto-detect)True (auto-detect)True (auto-detect)

Produced by ORA developed at CASOS - Carnegie Mellon University