normalise: Normalise tally weights
In toporanga: Topological Sort-Based Hierarchy Inference
normalise R Documentation
Normalise tally weights
Description
When we have w(A\rightarrow B)=a and w(B\rightarrow A)=b, this function will normalise both to sum to 1, i.e. divide by a+b.
This way dominance matters more than engagement in conflicts between particular agents; in particular, an agent that frequently loses in typical events but always dominate over the otherwise dominating agent will come on top with normalised weights, while remain near the bottom otherwise.
Usage
normalise(tally)
Arguments
tally
a toporanga_tally object in which weights are going to be normalised.
Value
A modified toporanga_tally object.
toporanga documentation built on Aug. 8, 2025, 6:15 p.m.
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| normalise | R Documentation |
Normalise tally weights
Description
When we have w(A\rightarrow B)=a and w(B\rightarrow A)=b, this function will normalise both to sum to 1, i.e. divide by a+b.
This way dominance matters more than engagement in conflicts between particular agents; in particular, an agent that frequently loses in typical events but always dominate over the otherwise dominating agent will come on top with normalised weights, while remain near the bottom otherwise.
Usage
normalise(tally)
Arguments
tally |
a |
Value
A modified toporanga_tally object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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