Identifying Career Boundaries Using Minimum Description Length on a Graph

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dc.contributor.authorUliana R.M.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-12T23:57:26Z
dc.date.available2024-03-12T23:57:26Z
dc.date.issued2018
dc.description.abstract© 2018 IEEE.Understanding how careers evolve is very important for us, so we can make better professional decisions; for companies, so they can better plan their internal organization career progressions; and also for the governments, so they can better plan their labour market and economic policies. In this paper, we model a career progression as a graph, called MCar, in which nodes represent occupations and edges correspond to the flow of professionals among occupations. Based on MCar, we introduce some key concepts to investigate career evolution, namely, career boundary, occupational poles, and occupational islands. Finally, we propose the use of community detection techniques on a real database with millions of professional backgrounds to objectively identify career boundaries in Brazil and to study the topologies of the resultant graph. The results obtained provide a quantitative basis for career models, showing, for instance, the presence of hubs suggesting that less regular careers are common.
dc.description.firstpage42407
dc.description.lastpage42421
dc.description.volume6
dc.identifier.doi10.1109/ACCESS.2018.2856886
dc.identifier.issn2169-3536
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35506
dc.relation.ispartofIEEE Access
dc.rightsAcesso Aberto
dc.subject.otherlanguageboundaryless career
dc.subject.otherlanguagecommunity detection
dc.subject.otherlanguageNetwork
dc.subject.otherlanguageoccupation
dc.subject.otherlanguageoccupational island
dc.subject.otherlanguageoccupational pole
dc.subject.otherlanguageprotean career
dc.titleIdentifying Career Boundaries Using Minimum Description Length on a Graph
dc.typeArtigo
local.scopus.citations2
local.scopus.eid2-s2.0-85050222846
local.scopus.subjectboundaryless career
local.scopus.subjectCommunity detection
local.scopus.subjectEngineering profession
local.scopus.subjectNetwork topology
local.scopus.subjectoccupation
local.scopus.subjectoccupational island
local.scopus.subjectprotean career
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050222846&origin=inward
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