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Definition and analysis of strategic predictive indicators for social networks
dc.contributor | Universitat Jaume I. Escola de Doctorat | cat |
dc.contributor.author | Lanza Cruz, Indira Lázara | |
dc.date.accessioned | 2024-01-31T10:31:13Z | |
dc.date.accessioned | 2024-07-15T12:13:39Z | |
dc.date.available | 2024-01-31T10:31:13Z | |
dc.date.available | 2024-07-15T12:13:39Z | |
dc.date.issued | 2024-01-19 | |
dc.identifier.uri | http://hdl.handle.net/10803/689932 | |
dc.description | Compendi d'articles | ca |
dc.description.abstract | This thesis delves into a novel research area in Social Business Intelligence (SBI) focusing on social indicators. It proposes advanced methodologies for discovering and describing social indicators, using social network metrics and dynamic contexts. The main contribution is the proposal of a comprehensive methodological framework for the development of SBI projects, addressing the necessity for a semantic infrastructure. The framework abstracts various methodological processes that can be adapted and extended to suit diverse analysis tasks. The implementation of an author profiling method based on multidimensional business perspectives allows the identification of business roles within user profiles on social media. This finding introduces a novel quality indicator for assessing content reliability. Finally, the feasibility of developing quality indicators semi-automatically to identify relevant content is demonstrated. In summary, the proposed infrastructure enables the extraction of valuable insights for organizations seeking to measure the impact of their actions in social media. | ca |
dc.format.extent | 151 p. | ca |
dc.language.iso | eng | ca |
dc.publisher | Universitat Jaume I | |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.source | TDX (Tesis Doctorals en Xarxa) | |
dc.subject | Social indicators | ca |
dc.subject | Social Business Intelligence | ca |
dc.subject | Author profiling | ca |
dc.subject | Quality indicators | ca |
dc.subject | Social media | ca |
dc.subject | Analytical streams | ca |
dc.subject.other | Ciències | ca |
dc.title | Definition and analysis of strategic predictive indicators for social networks | ca |
dc.type | info:eu-repo/semantics/doctoralThesis | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.identifier.doi | http://dx.doi.org/10.6035/14101.2024.583468 | ca |
dc.subject.udc | 004 | ca |
dc.contributor.director | Berlanga Llavori, Rafael | |
dc.rights.license | L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-sa/4.0/ | ca |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.embargo.terms | cap | ca |
dc.contributor.tutor | Berlanga Llavori, Rafael | |
dc.description.degree | Programa de Doctorat en Informàtica |
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