Some Axiomatic and Algorithmic Perspectives on the Social Ranking Problem
Moretti, Stefano; Ozturk, Meltem (2017), Some Axiomatic and Algorithmic Perspectives on the Social Ranking Problem, Algorithmic Decision Theory. 5th International Conference, ADT 2017, 2017
TypeCommunication / Conférence
Conference titleAlgorithmic Decision Theory. 5th International Conference, ADT 2017
Book authorJörg Rothe
Springer International Publishing
MetadataShow full item record
Abstract (EN)Several real-life complex systems, like human societies or economic networks, are formed by interacting units characterized by patterns of relationships that may generate a group-based social hierarchy. In this paper, we address the problem of how to rank the individuals with respect to their ability to “influence” the relative strength of groups in a society. We also analyse the effect of basic properties in the computation of a social ranking within specific classes of (ordinal) coalitional situations. We show that the pairwise combination of these natural properties yields either to impossibility (i.e., no social ranking exists), or to flattening (i.e., all the individuals are equally ranked), or to dictatorship (i.e., the social ranking is imposed by the relative comparison of coalitions of a given size). Then, we turn our attention to an algorithmic approach aimed at evaluating the frequency of “essential” individuals, which is a notion related to the (ordinal) marginal contribution of individuals over all possible groups.
Subjects / KeywordsSocial ranking; Coalitional power; Ordinal power; Axioms
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Allouche, Tahar; Escoffier, Bruno; Moretti, Stefano; Ozturk, Meltem (2020) Communication / Conférence