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Grey Social Networks

A Facebook Case Study

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 8733)

Abstract

Facebook is one of the largest socializing networks nowadays, gathering among his users a whole array of persons from all over the world, with a diversified background, culture, opinions, age and so on. Here is the meeting point for friends (both real and virtual), acquaintances, colleagues, team-mates, class-mates, co-workers, etc. Also, here is the land where the information is spreading so fast and where you can easily exchange your opinions, feelings, traveling informations, ideas, etc. But what happens when one is reading the news feed or is seeing his Facebook friends’ photos? Is he thrilled, excited? Is he feeling that the life is good? Or contrary: he is feeling lonely, isolated? Is he doing a comparison with his friends? These are some of the questions this paper in trying to answer and shaping some of these relationships, the grey system theory will be used.

Keywords

  • grey incidence analysis
  • social networks
  • Facebook
  • correlation analysis

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  • DOI: 10.1007/978-3-319-11289-3_13
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© 2014 Springer International Publishing Switzerland

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Delcea, C., Cotfas, LA., Paun, R. (2014). Grey Social Networks. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_13

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  • DOI: https://doi.org/10.1007/978-3-319-11289-3_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11288-6

  • Online ISBN: 978-3-319-11289-3

  • eBook Packages: Computer ScienceComputer Science (R0)