Abstract
Facebook is one of the largest socializing networks nowadays, gathering among its 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, Facebook is the land where the information is spreading so fast and where you can easily exchange your opinions, feelings, travelling information, 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. For shaping some of these relationships, the grey system theory will be used.
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Acknowledgments
This paper was co-financed from the European Social Fund, through the Sectoral Operational Programme Human Resources Development 2007–2013, project number POSDRU/159/1.5/S/138907 “Excellence in scientific interdisciplinary research, doctoral and postdoctoral, in the economic, social and medical fields - EXCELIS”, coordinator The Bucharest University of Economic Studies. Also, the authors gratefully acknowledge partial support of this research by Leverhulme Trust International Network research project “IN-2014-020” and by Webster University Thailand.
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Delcea, C., Cotfas, LA., Paun, R., Maracine, V., Scarlat, E. (2016). A Grey Approach to Online Social Networks Analysis. In: Nguyen, N.T., Kowalczyk, R. (eds) Transactions on Computational Collective Intelligence XXII. Lecture Notes in Computer Science(), vol 9655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49619-0_4
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