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dc.contributor.authorMiranda, James William Pontes [UNESP]
dc.contributor.authorBueno, Danilo Henrique Rodrigues [UNESP]
dc.contributor.authorDe Souza, Rogéria Cristiane Gratão [UNESP]
dc.contributor.authorValêncio, Carlos Roberto [UNESP]
dc.contributor.authorEsteca, Antônio Marcos Neves [UNESP]
dc.contributor.authorZafalon, Geraldo Francisco Donegá [UNESP]
dc.date.accessioned2018-12-11T17:29:09Z
dc.date.available2018-12-11T17:29:09Z
dc.date.issued2016-01-01
dc.identifier.citationICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, v. 2, p. 265-272.
dc.identifier.urihttp://hdl.handle.net/11449/178173
dc.description.abstractThe daily use of social networks is in growth around the world and this includes niche social networks, which have as a main feature an audience segmented by some kind of affinity that particularizes a group. This paper focuses on a specific type of niche social network, which are the reading social networks, aiming to perform a qualitative analysis of this type of website The goal is to understand how the qualitative factors can affect the users and also to serve as reference for the construction of new niche social networks, based on quality factors widely used for the creation of various types of software systems. Thus, this paper aims to fill a need for specific studies of niche social networks and also the influence of qualitative factors of software in websites, helping users and developers of reading social networks.en
dc.format.extent265-272
dc.language.isoeng
dc.relation.ispartofICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
dc.sourceScopus
dc.subjectSocial networks
dc.subjectSoftware quality assurance
dc.subjectWeb
dc.titleA qualitative approach to develop niche social networks: A reading social networks case studyen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationComputer Science and Statistics Department São Paulo State University UNESP
dc.description.affiliationUnespComputer Science and Statistics Department São Paulo State University UNESP
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-84979533897
dc.identifier.lattes4644812253875832
dc.identifier.lattes5914651754517864
dc.identifier.orcid0000-0002-9325-3159
dc.identifier.orcid0000-0002-7449-9022
unesp.author.lattes4644812253875832[4]
unesp.author.lattes5914651754517864[3]
unesp.author.orcid0000-0002-9325-3159[4]
unesp.author.orcid0000-0002-7449-9022[3]
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