LK-Means algorithm for evaluation of behavior of university students in social networks related to cyberbullying and netiquetas topics

María de Guadalupe Cota Ortiz, Pedro Flores Perez, María de Guadalupe Ojeda Cota

Resultado de la investigación: Contribución a una revistaArtículo

Resumen

In this paper presents use of the LK-Means algorithm to classify a sample of university students, which was used to analyze the knowledge that they have about cyberbullying and use of Netiquetas in digital social networks. Information was collected in the context of the topics of virtual violence, peaceful coexistence, and knowledge in Netiquetas application. Each participant was assigned by category according to their knowledge level, grouping them into 5 classes to identify those who should receive training in the topics. Results allowed to recognize that 51% corresponds to violent relationships, 65% to peaceful coexistence and 58% have knowledge about the use of Netiquetas and that the algorithm showed high precision and efficiency improving manual procedure and decreasing processing time.
Idioma originalEspañol (México)
Número de artículo10
Páginas (desde-hasta)56-62
Número de páginas6
PublicaciónICDATA'19
Volumen1
N.º1
EstadoPublicada - 29 jul 2019

Palabras clave

  • pattern-recognition
  • ciberbullying
  • netiquetas
  • social-networks

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