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This model specifically predicts, for a user, the proportion of comments that will be published with a particular emotion; this proportion is defined as an\n                    <jats:italic>emotional intensity<\/jats:italic>\n                    of the user in a particular time period. On the contrary of other models, which are focused on a single emotion, the proposed model considers a basic scheme of four emotions and employs these in an interdependent manner. The model, moreover, utilizes three types of features: (1) user-related, (2) contact-related, and (3) environment-related. Prediction is performed using linear regression. Nearly 20 models, including ARIMA, are outperformed by the proposed model (with statistically significant results) when evaluated over a dataset extracted from Twitter. Some potential applications include massive opinion monitoring and recommendations to improve the emotional wellness of social media users (for example, the recommendation of joyful memories).\n                  <\/jats:p>","DOI":"10.3233\/jifs-179020","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T12:02:51Z","timestamp":1557835371000},"page":"4709-4719","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Predicting emotional intensity in social networks"],"prefix":"10.1177","volume":"36","author":[{"given":"Fernando M.","family":"Rodr\u00edguez","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Universidad Aut\u00f3noma de Nuevo Le\u00f3n, San Nicol\u00e1s de los Garza, NL, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara E.","family":"Garza","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Universidad Aut\u00f3noma de Nuevo Le\u00f3n, San Nicol\u00e1s de los Garza, NL, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2019,5,14]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_6"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0092410"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.03.040"},{"key":"e_1_3_2_5_2","doi-asserted-by":"crossref","unstructured":"CochranA.L. 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