A Social Network Built from Digital Documents from the UFT Website
DOI:
https://doi.org/10.36311/1981-1640.2022.v16.e02162Keywords:
Social Networks, Complex Networks, Relations, Document Analysis, GraphAbstract
This research proposes the exemplification of a mapping of a social network. Thus, in this research, a social network of entities related to the Federal University of Tocantins (UFT) was reproduced using 13 thousand digital documents. To map the connections of the documents and generate the graph, it was used as a criterion that if the name of two persons are in the same document they have a connection, for each different file that has a connection, this relationship is strengthened. The graph had 114,405 vertices, and 21,081,984 edges. Of the ten most central nodes, the entities found occupied, or still occupy, the following functions: dean, campus director, pro-rector and vice-rector. In this way, the reproduction of a complex network of relationships is considered, with the use of digital documents as a viable alternative for the mapping of social interactions of nuclei that are probably not mapped by conventional online social networks. Thus, the graph created by this social network model, built from digital text documents, presents an alternative to map relationships between entities, which can have different purposes.
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