| Title of paper:
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Generalized net model of a social network with intuitionistic fuzzy estimation
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| Author(s):
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| Stanislav Andreev
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| Intelligent Systems Laboratory, “Prof. Asen Zlatarov” University, Burgas, Bulgaria
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| stanandreev@btu.bg
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| Krassimir Atanassov
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| Intelligent Systems Laboratory, “Prof. Asen Zlatarov” University, Burgas, Bulgaria
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| krat@bas.bg
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| Sotir Sotirov
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| Intelligent Systems Laboratory, “Prof. Asen Zlatarov” University, Burgas, Bulgaria
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| ssotirov@btu.bg
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| Published in:
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"Notes on IFS", Volume 20, 2014, Number 3, pages 72-83
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| Download:
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 PDF (854 Kb, Info)
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| Abstract:
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The social network is a social structure created out of specific dots (which may represent people or organizations), connected as specific types of ideas, visions, financial benefit, friendship, tradition, links, etc. In its most simple form, the social work represents a map of the connections between all of the relational dots that are studied. The offered generalized net gives different variations of use of the social networks as giving a path of work in the social network. The research is oriented towards the social network Facebook. The whole process is described with one of the variations of tools, which use parallel processing of information – Generalized nets.
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| Keywords:
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Generalized net, Social network, Facebook.
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| AMS Classification:
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03E72.
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