Finding inner copy communities using social network analysis

  • Authors:
  • Eduardo Merlo;Sebastián A. Ríos,;Héctor Álvarez;Gaston L'Huillier;Juan D. Velásquez

  • Affiliations:
  • Department of Industrial Engineering, University of Chile;Department of Industrial Engineering, University of Chile;Department of Industrial Engineering, University of Chile;Department of Industrial Engineering, University of Chile;Department of Industrial Engineering, University of Chile

  • Venue:
  • KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
  • Year:
  • 2010

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Abstract

Nowadays, the technology usage is a massive practice where internet and digital documents are considered as powerful tools in both professional and personal domains. Although, as useful as they can be in a proper way, wrong practices can appear easily, where the copy & paste or plagiarism phenomenon is not far away from this. Documents' copy & paste is a world-wide growing practice, and Chile is not the exception. Therefore, all levels of educational fields, from elementary school to graduate students, are directly affected by this. Regarding to this concern, in Chile it's been decided to tackle the plagiarism problem among students. For this, we apply Social Network Analysis to discover groups of people associated to each other by their documents' similarity in a plagiarism detection context. Experiments were successfully performed in real reports of graduate students at University of Chile.