135 research outputs found
Measuring centrality by a generalization of degree
Network analysis has emerged as a key technique in communication studies,
economics, geography, history and sociology, among others. A fundamental issue
is how to identify key nodes, for which purpose a number of centrality measures
have been developed. This paper proposes a new parametric family of centrality
measures called generalized degree. It is based on the idea that a relationship
to a more interconnected node contributes to centrality in a greater extent
than a connection to a less central one. Generalized degree improves on degree
by redistributing its sum over the network with the consideration of the global
structure. Application of the measure is supported by a set of basic
properties. A sufficient condition is given for generalized degree to be rank
monotonic, excluding counter-intuitive changes in the centrality ranking after
certain modifications of the network. The measure has a graph interpretation
and can be calculated iteratively. Generalized degree is recommended to apply
besides degree since it preserves most favourable attributes of degree, but
better reflects the role of the nodes in the network and has an increased
ability to distinguish among their importance.Comment: 20 pages, 8 figure
A graph interpretation of the least squares ranking method
The paper aims at analyzing the least squares ranking method for generalized
tournaments with possible missing and multiple paired comparisons. The
bilateral relationships may reflect the outcomes of a sport competition,
product comparisons, or evaluation of political candidates and policies. It is
shown that the rating vector can be obtained as a limit point of an iterative
process based on the scores in almost all cases. The calculation is interpreted
on an undirected graph with loops attached to some nodes, revealing that the
procedure takes into account not only the given object's results but also the
strength of objects compared with it. We explore the connection between this
method and another procedure defined for ranking the nodes in a digraph, the
positional power measure. The decomposition of the least squares solution
offers a number of ways to modify the method
On the additivity of preference aggregation methods
The paper reviews some axioms of additivity concerning ranking methods used
for generalized tournaments with possible missing values and multiple
comparisons. It is shown that one of the most natural properties, called
consistency, has strong links to independence of irrelevant comparisons, an
axiom judged unfavourable when players have different opponents. Therefore some
directions of weakening consistency are suggested, and several ranking methods,
the score, generalized row sum and least squares as well as fair bets and its
two variants (one of them entirely new) are analysed whether they satisfy the
properties discussed. It turns out that least squares and generalized row sum
with an appropriate parameter choice preserve the relative ranking of two
objects if the ranking problems added have the same comparison structure.Comment: 24 pages, 9 figure
How to avoid ordinal violations in incomplete pairwise comparisons
Assume that some ordinal preferences can be represented by a weakly connected
directed acyclic graph. The data are collected into an incomplete pairwise
comparison matrix, the missing entries are estimated, and the priorities are
derived from the optimally filled pairwise comparison matrix. Our paper studies
whether these weights are consistent with the partial order given by the
underlying graph. According to previous results from the literature, two
popular procedures, the incomplete eigenvector and the incomplete logarithmic
least squares methods fail to satisfy the required property. Here, it is shown
that the recently introduced lexicographically optimal completion combined with
any of these weighting methods avoids ordinal violation in the above setting.
This finding provides a powerful argument for using the lexicographically
optimal completion to determine the missing elements in an incomplete pairwise
comparison matrix.Comment: 11 pages, 2 figure
Improving the fairness of group draw in sports tournaments
Several sports tournaments establish restrictions on the draw of the group
stage. In this case, the usual mechanism to assign the teams into groups is
unevenly distributed: the valid allocations are not equally likely. We show by
two illustrative examples how the lack of randomisation in the size of the
groups and the inflexible treatment of a sophisticated draw constraint can
increase unfairness. Based on these ideas, the draw of the European Qualifiers
for the 2022 FIFA World Cup could have been closer to uniform distribution
without any negative effects. Our recommendation for a careful relabelling of
the pots from which the teams are drawn has a decent chance to be implemented
in practice.Comment: 10 pages, 1 figure, 3 table
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