R2.2. Centrality measures and the method of reflections.
The model presented is based on the previously established method of
reflections, and uses the PageRank-like variation on that method
suggested by Caldarelli et al. (2012). This means the inferred ranking is
a bipartite PageRank variation similar to a bipartite HITS algorithm,
which has been previously analyzed. Most importantly, the rankings output
by these types of algorithms will be strongly correlated with degree
(here, number of articles edited or number of editors edited by). Since
degree is one of the major components of the validation/ground-truth
rankings, a significant amount of agreement could be accomplished this
way.
2. A comparison of performance to degree, or a correlation of the output
of the method to degree, should be shown or acknoweldged in the text.
R2.2. Centrality measures and the method of reflections. The model presented is based on the previously established method of reflections, and uses the PageRank-like variation on that method suggested by Caldarelli et al. (2012). This means the inferred ranking is a bipartite PageRank variation similar to a bipartite HITS algorithm, which has been previously analyzed. Most importantly, the rankings output by these types of algorithms will be strongly correlated with degree (here, number of articles edited or number of editors edited by). Since degree is one of the major components of the validation/ground-truth rankings, a significant amount of agreement could be accomplished this way.