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author | KatolaZ <katolaz@yahoo.it> | 2015-10-19 16:30:12 +0100 |
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committer | KatolaZ <katolaz@yahoo.it> | 2015-10-19 16:30:12 +0100 |
commit | a86962cbfd0321387c920a04188512d0de2f3036 (patch) | |
tree | b6c0d31342f7af9d605ee83cfffe251554a307d4 /doc/latex/latex/structure/correlations/compute_tau.tex | |
parent | df8386f75b0538075d72d52693836bb8878f505b (diff) |
First commit of MAMMULT documentation
Diffstat (limited to 'doc/latex/latex/structure/correlations/compute_tau.tex')
-rw-r--r-- | doc/latex/latex/structure/correlations/compute_tau.tex | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/doc/latex/latex/structure/correlations/compute_tau.tex b/doc/latex/latex/structure/correlations/compute_tau.tex new file mode 100644 index 0000000..e6e8589 --- /dev/null +++ b/doc/latex/latex/structure/correlations/compute_tau.tex @@ -0,0 +1,31 @@ +\myprogram{{compute\_tau.py}} + {compute the Kendall's rank correlation coefficient $\tau_b$ + between two rankings.} {$<$file1$>$ $<$file2$>$} + +\mydescription{Compute the Kendall's rank correlation coefficient + $\tau_b$ between two rankings provided in the input + files \textit{file1} and \textit{file2}. Each input file + contains a list of lines, where the n-th line contains the + value of rank of the n-th node. For instance, \textit{file1} + and \textit{file2} might contain the ranks of nodes induced + by the degree sequences of two distinct layers of a + multiplex. + + However, the program is pretty general and can be used to + compute the Kendall's rank correlation coefficient between + any generic pair of rankings. + + N.B.: This implementation takes properly into account rank + ties.} + + +\myreturn{The program prints on \texttt{stdout} the value of the + Kendall's rank correlation coefficient $\tau_b$ between the + two rankings provided as input. } + +\myreference{\refcorrelations + + \refgrowth + + \refnonlinear +} |