dc.creatorPrado A.B.
dc.creatorBaranauskas M.C.C.
dc.date2012
dc.date2015-06-25T20:27:28Z
dc.date2015-11-26T15:26:49Z
dc.date2015-06-25T20:27:28Z
dc.date2015-11-26T15:26:49Z
dc.date.accessioned2018-03-28T22:35:29Z
dc.date.available2018-03-28T22:35:29Z
dc.identifier9781467347921
dc.identifierProceedings Of The 2012 4th International Conference On Computational Aspects Of Social Networks, Cason 2012. , v. , n. , p. 87 - 92, 2012.
dc.identifier
dc.identifier10.1109/CASoN.2012.6412383
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874070884&partnerID=40&md5=8d7843f3d8a60681e496b13cf0dcf8ea
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90741
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90741
dc.identifier2-s2.0-84874070884
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1261197
dc.descriptionKnowledge on the social web presupposes to gather information about its current and potential users and document their relationships, interests and needs. A recent branch of sociology, the Actor-Network Theory or ANT, states that relations among human and nonhuman actors are equally important to comprehend social phenomena. Since scientists are potential users of huge computational support, their communities provide relevant cases for domain characterization and software design. This paper investigates the possibilities of using ANT to characterize a real instance of those social networks. The active role of nonhuman actors allows us to trace the relations based on material clues left behind by the actors, and also to bring forth features to be explored by social software. The results of this study present a graphical representation that allows quantitative and qualitative analysis of the social network, which may inform a better design of systems for those communities. © 2012 IEEE.
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dc.description
dc.description87
dc.description92
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dc.languageen
dc.publisher
dc.relationProceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012
dc.rightsfechado
dc.sourceScopus
dc.titleRepresenting Scientific Associations Through The Lens Of Actor-network Theory
dc.typeActas de congresos


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