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Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users
The prediction of the total of messages sent daily through the social network of Twitter, allows to establish a trend on its use, also identify if it has a preference for users or if on the contrary it is in a process of decline. For this analysis, a sample was taken for five weeks comprised during...
| Autor principal: | |
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| Formato: | Online Artículo |
| Lenguaje: | spa |
| Publicado: |
Universidad Veracruzana
2017
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| Materias: | |
| Acceso en línea: | https://is.uv.mx/index.php/IS/article/view/2316 |
| _version_ | 1780756928454983680 |
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| author | Suárez Gutiérrez, Manuel |
| author_facet | Suárez Gutiérrez, Manuel |
| author_sort | Suárez Gutiérrez, Manuel |
| collection | Interconectando Saberes |
| description | The prediction of the total of messages sent daily through the social network of Twitter, allows to establish a trend on its use, also identify if it has a preference for users or if on the contrary it is in a process of decline. For this analysis, a sample was taken for five weeks comprised during the month of October and November 2016, and through these data select a prediction model to formulate a forecast on the behavior of the Tweets for the sixth week. |
| format | Online Article |
| id | oai_is-article-2316 |
| institution | Universidad Veracruzana |
| language | spa |
| publishDate | 2017 |
| publisher | Universidad Veracruzana |
| record_format | ojs |
| spelling | oai_is-article-23162019-02-01T14:29:14Z Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users Avance de Investigación: Modelo de Predicción Lineal del número de Tweets enviados por los usuarios de Twitter Suárez Gutiérrez, Manuel Redes Sociales Twitter Predicción Social Networks Twitter Prediction The prediction of the total of messages sent daily through the social network of Twitter, allows to establish a trend on its use, also identify if it has a preference for users or if on the contrary it is in a process of decline. For this analysis, a sample was taken for five weeks comprised during the month of October and November 2016, and through these data select a prediction model to formulate a forecast on the behavior of the Tweets for the sixth week. La predicción del total de mensajes enviados diarios a través de la red social online de Twitter, permite establecer una tendencia sobre su uso, asimismo identificar si tiene una preferencia por los usuarios o si por el contrario se encuentra en un proceso de decaída. Para este análisis se tomó una muestra por cinco semanas comprendidas durante el mes de octubre y noviembre de 2016, y a través de estos datos seleccionar un modelo de predicción para formular un pronóstico sobre el comportamiento de los Tweets para la sexta semana. Universidad Veracruzana 2017-01-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://is.uv.mx/index.php/IS/article/view/2316 Interconectando Saberes; Núm. 2 (1); 15 - 18 Interconectando Saberes; No. 2 (1); 15 - 18 2448-8704 spa https://is.uv.mx/index.php/IS/article/view/2316/4119 https://is.uv.mx/index.php/IS/article/view/2316/4432 Derechos de autor 2017 Interconectando Saberes |
| spellingShingle | Redes Sociales Predicción Social Networks Prediction Suárez Gutiérrez, Manuel Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users |
| title | Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users |
| title_alt | Avance de Investigación: Modelo de Predicción Lineal del número de Tweets enviados por los usuarios de Twitter |
| title_full | Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users |
| title_fullStr | Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users |
| title_full_unstemmed | Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users |
| title_short | Research Advance: Linear Prediction Model of the number of Tweets sent by Twitter users |
| title_sort | research advance: linear prediction model of the number of tweets sent by twitter users |
| topic | Redes Sociales Predicción Social Networks Prediction |
| topic_facet | Redes Sociales Predicción Social Networks Prediction |
| url | https://is.uv.mx/index.php/IS/article/view/2316 |
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