dc.creatorNieto-Chaupis, Huber
dc.date.accessioned2022-03-04T14:41:04Z
dc.date.accessioned2023-05-30T23:13:21Z
dc.date.available2022-03-04T14:41:04Z
dc.date.available2023-05-30T23:13:21Z
dc.date.created2022-03-04T14:41:04Z
dc.date.issued2019-11-21
dc.identifierNieto-Chaupis, H. (2019, August). Shannon Entropy Fits Well Social Risk: Unemployment and Poverty in Large Cities. In 2019 IEEE 1st Sustainable Cities Latin America Conference (SCLA) (pp. 1-4). IEEE.
dc.identifier978-1-7281-3967-8
dc.identifierhttps://hdl.handle.net/20.500.13067/1727
dc.identifier2019 IEEE 1st Sustainable Cities Latin America Conference (SCLA)
dc.identifierhttps://doi.org/10.1109/SCLA.2019.8905455
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6473728
dc.description.abstractWe apply the Shannon entropy to model the conjunction of unemployment and poverty in large cities of developing countries. Once the mathematical model has been established, we project the model results to official data resulting in a matching of order of 73% indicating that the social disorder is following a logarithm behavior as consequence of inverse relationship that involve the apparition of poverty in their different manifestations inside of a society that target to be developed in their main aspects.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.publisherPE
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075953220&doi=10.1109%2fSCLA.2019.8905455&partnerID=40&md5
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceAUTONOMA
dc.source1
dc.source4
dc.subjectUnemployment
dc.subjectUrban areas
dc.subjectSociology
dc.subjectStatistics
dc.subjectEntropy
dc.subjectMathematical model
dc.subjectEmployment
dc.titleShannon Entropy Fits Well Social Risk: Unemployment and Poverty in Large Cities
dc.typeinfo:eu-repo/semantics/article


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