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Social Network Analysis of Edutubers
(2022-05-19) Pasquel López, Cynthia; Rodríguez Aceves, Lucía; Valerio Ureña, Gabriel; Instituto Tecnológico y de Estudios Superiores de Monterrey; Hernández Montoya, Diana
The popularity of educational videos has increased in recent years. In 2018, YouTube announced a $20 million investment to support educational video creators and organized the YouTube EduCon event to bring them together and form a community. The COVID-19 pandemic pushed educational institutions to use resources contained in public repositories, such as YouTube. The objective of this research study was to explore the dynamics of EduTubers to understand the motivations for their interactions. We used social network analysis (SNA) with YouTube data to analyze the dynamics of EduTubers’ recommendation networks. Meaningful insights reveal a relationship between the level of digital engagement and the level of out-degree. Additionally, we confirm that educhannel homophily has a positive effect on the level of reciprocity. The main contribution lies in the use of theoretical concepts (reciprocity and homophily), focusing on the intrinsic motivations of EduTubers to recommend other channels. The practical implications of the results suggest that educhannels that initiate and grow digital engagement are more likely to participate in a recommendation network.
Impelling research productivity and impact through collaboration: a scientometric case study of knowledge management
(Palgrave Macmillan, 2017-07-11) Ceballos, Hector G.; Fangmeyer Jr, James Andrew; Galeano Sánchez, Nathalíe M.; Juarez, Erika; Cantú Ortíz, Francisco J.; Tecnologico de Monterrey
A case study for impelling university research productivity and impact through collaboration is presented. Scientometric results support the hypothesis that a knowledge management model increased research collaboration and thereby boosted a university’s number of publications and citations. Results come from fifteen years of data at a Mexican university with 2400 researchers who produced 24,000 works in fifteen research disciplines. These data are treated with social network visualizations and algorithms to identify patterns of collaboration and clustering, as well as with normalizations to make disciplines comparable and to verify increasing citation impact. The knowledge management model implemented in the study may be a costeffective way for universities to intensify collaboration and improve research performance.
Recommending intra-institutional scientific collaboration through coauthorship network visualization
(2013-10-28) Prada, Gustavo A; Cantu-Ortiz, Francisco J; Rodríguez-Acevez, Lucía Alejandra; Ceballos Cansino, Héctor Gibrán; Instituto Tecnológico y de Estudios Superiores de Monterrey
For improving research productivity, quality and dissemination, we propose the development of a visual recommendation tool summing up scientific collaboration best-practices found in literature. Social Network Analysis are applied to a coauthorship network for generating a Potential Collaboration Index (PCI) based on productivity, connectivity, similarity and expertise. This work is evaluated by recommending intra-institutional collaboration in a comprehensive university. The accuracy of PCI is documented, along with suggestions and comments from 27 interviewed researchers.

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