2014
DOI: 10.9781/ijimai.2014.252
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A First Approach to the Implicit Measurement of Happiness in Latin America Through the Use of Social Networks

Abstract: This research paper can be classified as pertaining to the group of empirical studies that try to measure subjective wellbeing. The article presents as its greatest contributions the use of a subjective measurement of well-being based on social networks for the Latin American setting, as well as its comparative analysis with another traditional method.

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Cited by 8 publications
(4 citation statements)
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“…Specifically, the social network used is Twitter. The paper shows that it is possible to calculate, via objective and empirical means, factors that allow to measure happiness through the use of social networks [34].…”
Section: The Measurement Of Happiness: the Use Of Social Networkmentioning
confidence: 99%
“…Specifically, the social network used is Twitter. The paper shows that it is possible to calculate, via objective and empirical means, factors that allow to measure happiness through the use of social networks [34].…”
Section: The Measurement Of Happiness: the Use Of Social Networkmentioning
confidence: 99%
“…Ha de tenerse presente que como el propósito inicial de la educación superior no es precisamente la generación de productos y servició a terceros, más allá de lo correspondiente a la investigación, la docencia y la extensión, en tal sentido un modelo de innovación abierta y colaborativa para la misma implica un proceso de preparación y ajuste de aspectos. Estos aspectos pueden ser, definir estrategia de innovación abierta, institucionalizar el proceso, compromiso de directivos, motivación y trabajo en equipo, acuerdo de propiedad intelectual, alianza en redes colaborativas, uso de plataformas como big data [17], simulación, redes sociales [18], incentivos para la innovación y políticas gubernamentales.…”
Section: Propuesta De Innovación Abierta -Universidadunclassified
“…The opinions of Twitter users can be assessed by classifying the sentiment of the tweets as positive or negative [7]. However, tweets can be partially positive and negative at the same time by containing references to different entities within a single tweet.…”
Section: "Fine Grain Sentiment Analysis With Semantics In Tweets"mentioning
confidence: 99%