print.netrankr_mcmc

Prints the result of an object obtained from mcmc_rank_prob to terminal

Implements methods for centrality related analyses of networks.
While the package includes the possibility to build more than 20 indices,
its main focus lies on index-free assessment of centrality via partial
rankings obtained by neighborhood-inclusion or positional dominance. These
partial rankings can be analyzed with different methods, including
probabilistic methods like computing expected node ranks and relative
rank probabilities (how likely is it that a node is more central than another?).
The methodology is described in depth in the vignettes and in
Schoch (2018) <doi:10.1016/j.socnet.2017.12.003>.

David Schoch

netrankr

Analyzing Partial Rankings in Networks

Julian Müller

print.netrankr_mcmc function

<dl><dt>x</dt>
<dd>A netrank object</dd>
<dt>...</dt>
<dd>additional arguments to print</dd></dl>

Arguments

Author

Print netrankr_mcmc object to terminal — print.netrankr_mcmc

<dl>

<dt>x</dt>
<dd>A netrank object</dd>


<dt>...</dt>
<dd>additional arguments to print</dd>

</dl>

print.netrankr_mcmc: Print netrankr_mcmc object to terminal

Description

Usage

Arguments

Author