Presionando la privacidad: Exploraci?n del uso de twitter en la residencias de la ciudad de Melbourne

 

Authors
Carri?n L?pez, Gustavo Michael
Format
MasterThesis
Status
publishedVersion
Description

Nowadays extracting information from big data has become a highly demanding topic for companies and researchers alike, while companies aim to create differentiation using this data for business analytics(Stubbs, 2014), researches might use it to identify social patterns that could be having certain effect in people lives, hence the social network usage provides a new big data structure to process and extract significant data, however this extraction process can be quite complex besides the inherent features that the data extracted must comply with the 4v paradigm: velocity, veracity, variety and volume(IBM, 2015), furthermore the adding geographical bounds to query the data, as well as verifiable data sources aside from big data, makes the process even more complex.

Publication Year
2015
Language
eng
Topic
PROGRAMACI?N
GEOLOCALIZACI?N DE INFORMACI?N
TECNOLOG?AS DE INFORMACI?N
INVESTIGACI?N DE TENDENCIAS SOCIALES
Repository
Repositorio SENESCYT
Get full text
http://repositorio.educacionsuperior.gob.ec/handle/28000/3771
Rights
openAccess
License