A Regression Model for Analysis of User Engagement on Facebook Fan Page for Scientific Dissemination Content

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
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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引用次数: 0

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.

Abstract Image

用于分析用户参与 Facebook 粉丝页科学传播内容的回归模型
摘要 用户参与度是用户体验的一个指标,其特点是反应、可见性和用户与他人的互动性。我们利用统计分析方法和定性分析建立了一种新方法,用于计算以传播科学信息为主的 Facebook 粉丝页面的用户参与度。我们根据斯皮尔曼相关系数和按格式类型和内容来源对出版物进行的分类,重点研究了社交媒体过程。我们利用帖子的点击数和覆盖率建立了多元线性回归模型,准确率高达 91%(R2)。当原创内容以图片形式呈现时,用户参与度会更高。
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来源期刊
Programming and Computer Software
Programming and Computer Software 工程技术-计算机:软件工程
CiteScore
1.60
自引率
28.60%
发文量
35
审稿时长
>12 weeks
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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