Topic's layer distribution

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Layer distribution vector is an ordered set of numbers representing topic's distribution between layers. Layer distribution vector is used to give a rapid outlook to the topic and how the topic is merged between layers.
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Layer distribution vector is an ordered set of numbers representing topic's distribution between layers. Layer distribution vector is used to give a rapid outlook of the topic and how the topic is merged between layers.
  
 
Layer distribution vector is shown at the footer, near bottom right corner of the Wandora window. Layer distribution vector contains one number for each layer. First number represents the first layer, second number the second layer etc. If number in the vector is 0 (zero) current topic doesn't exist in equivalent layer. If number in the vector is 1 (one) current topic has one merged topic in the equivalent layer. If number is 2 topic has two merged topics in the equivalent layer etc. Layer distribution vector contains always positive integer numbers including zero.
 
Layer distribution vector is shown at the footer, near bottom right corner of the Wandora window. Layer distribution vector contains one number for each layer. First number represents the first layer, second number the second layer etc. If number in the vector is 0 (zero) current topic doesn't exist in equivalent layer. If number in the vector is 1 (one) current topic has one merged topic in the equivalent layer. If number is 2 topic has two merged topics in the equivalent layer etc. Layer distribution vector contains always positive integer numbers including zero.

Revision as of 19:03, 27 February 2007

Layer distribution vector is an ordered set of numbers representing topic's distribution between layers. Layer distribution vector is used to give a rapid outlook of the topic and how the topic is merged between layers.

Layer distribution vector is shown at the footer, near bottom right corner of the Wandora window. Layer distribution vector contains one number for each layer. First number represents the first layer, second number the second layer etc. If number in the vector is 0 (zero) current topic doesn't exist in equivalent layer. If number in the vector is 1 (one) current topic has one merged topic in the equivalent layer. If number is 2 topic has two merged topics in the equivalent layer etc. Layer distribution vector contains always positive integer numbers including zero.

For example if we have a topic with layer distribution vector [ 1:1:0 ] we can conclude the topic is a merged one and contains topics in first and second layer but the third layer is intact. However the vector doesn't express the cause of the merge. Topics in Wandora do merge when they share base name, subject locator or subject identifier.

If we have a layer distibution vector [ 1:2 ] we can conclude the topic is a merged one but also that topic in first layer causes two different topics to merge in second layer. This is possible for example when topic in first layer shares a base name and a subject identifier with two distinct topics in layer 2.

Some vectors are impossible. For example situation where single layer contains two or more merged topics can never occur as virtual merge collapses into a real merge as soon as the topics share an identifier. [ 2:0:0 ] is an example of such impossible layer distribution.

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