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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Transformations applied to network tanzania-kenya-imoon:

Mon Apr 07 14:18:52 2008 - binarized network location x location

Network Properties

Meta-networkNetworkSymmetricBinaryIgnore Self-loops
tanzania-kenya-imoonagent x taskn/aFalse (auto-detect)n/a
tanzania-kenya-imoonagent x knowledgen/aTrue (auto-detect)n/a
tanzania-kenya-imoonagent x resourcen/aTrue (auto-detect)n/a
tanzania-kenya-imoonagent x agentFalse (auto-detect)True (auto-detect)True (auto-detect)
tanzania-kenya-imoontask x taskFalse (auto-detect)False (auto-detect)True (auto-detect)
tanzania-kenya-imoonknowledge x taskn/aTrue (auto-detect)n/a
tanzania-kenya-imoonresource x taskn/aFalse (auto-detect)n/a
tanzania-kenya-imoonagent x locationn/aTrue (auto-detect)n/a
tanzania-kenya-imoonresource x locationn/aTrue (auto-detect)n/a
tanzania-kenya-imoonknowledge x locationn/aTrue (auto-detect)n/a
tanzania-kenya-imoontask x locationn/aTrue (auto-detect)n/a
tanzania-kenya-imoonlocation x locationTrue (auto-detect)True (auto-detect)True (auto-detect)

Produced by ORA developed at CASOS - Carnegie Mellon University