IDENTIFICATION OF A UNIVERSITY COMMUNITY ON FACEBOOK FOR THE DISSEMINATION OF SCIENCE AND CULTURE
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Abstract
Social network analysis is a method that allows the identification and exa mination of structures of various types of data, objects, or user groups, as well as the interactions created by a community and the relationships that exist between them. To characterize the virtual community of a higher education institution, the Fruchterman-Reingold, Yifan Hu, and Noverlap algorithms were applied using the Gephi tool for the analysis and modeling of 30 Facebook fan pages dedicated to the promotion of culture and the dissemination of science. The results show a relationship with the direction and number of edges for each of the 30 nodes for each algorithm applied. The focus of the analysis provided information about the dynamics of the virtual university community, allowing a visual understanding of how members connect and communicate within the Facebook social network.
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