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dc.contributor.authorMoretti, Stefano
HAL ID: 739814
ORCID: 0000-0003-3627-3257
dc.contributor.authorOzturk, Meltem
dc.date.accessioned2019-04-18T10:35:14Z
dc.date.available2019-04-18T10:35:14Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/18692
dc.descriptionLecture Notes in Computer Science book series (LNCS, volume 10576)
dc.language.isoenen
dc.subjectSocial ranking
dc.subjectCoalitional power
dc.subjectOrdinal power
dc.subjectAxioms
dc.subject.ddc005en
dc.titleSome Axiomatic and Algorithmic Perspectives on the Social Ranking Problem
dc.typeCommunication / Conférence
dc.description.abstractenSeveral 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.
dc.identifier.citationpages166-181
dc.relation.ispartofeditorJörg Rothe
dc.relation.ispartofpublnameSpringer International Publishing
dc.relation.ispartofpublcityBerlin Heidelberg
dc.relation.ispartofurl10.1007/978-3-319-67504-6
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn978-3-319-67503-9
dc.relation.conftitleAlgorithmic Decision Theory. 5th International Conference, ADT 2017
dc.relation.confdate2017
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-67504-6_12
dc.description.ssrncandidatenon
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dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2020-06-12T09:16:13Z
hal.identifierhal-02103398*
hal.version1*
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