Análisis del Mobbing desde la perspectiva de la cirberseguridad : Obtención de datos, etapa de experimentación y redacción de publicación.

Abstract

Mobbing is a social problem focused on the attack, denigration and harm of individuals in the workplace. The literature regarding the study of mobbing has focused mainly on the analysis of the social phenomenon. In such a way that research in the field of information technology is still incipient, as well as sources of information on experiences of this type. This research exposes a process to obtain a life cycle oriented to information security. Through the application of topic modeling algorithms such as the lda, nmf and lda2Vec model on mobbing experiences obtained using scrapy. Each of the models used generates a series of topics, to which a linguistic context is assigned. The best model is taken into account for which several tests have been carried out with a different number of experiences, to obtain the number of topics that it is convenient for us to take into account the perplexity and the computational cost. From the results, the set of words that gives us a better perspective to determine the stages that lead to a mobbing attack is taken into account, in addition, a comparison was made between the models that have been generated.