P. Velazquez-Solis, J. E. Ibarra-Esquer, M. Astorga-Vargas, B. L. Flores-Rios, M. Carrillo-Beltrán, I. A. García Pacheco
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A Regression Model for Analysis of User Engagement on Facebook Fan Page for Scientific Dissemination Content
Abstract
User Engagement is a metric that represents a part of the user experience characterized by attributes of reactions, visibility and user interactivity with others. Statistical analysis methods and qualitative analysis were used to establish a new method for calculating User Engagement in Facebook fan pages focused in dissemination of scientific information. We focused on social media processes based on Spearman correlation coefficients and categorization of publications by format type and source of content. A multiple linear regression model was defined using the number of clicks and the reach of posts with an accuracy of up to 91% (R2). The User Engagement increases preferably when it is presented in photo format of an original content creation.
期刊介绍：
Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.
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