Abstract
Knowledge discovery and fuzzy logic have great potential for social network models. Networks are currently extraordinarily popular, and while it’s fun to work in an area that people find interesting, there is such a thing as a topic being too popular. Networks are too popular in the sense that they are not widely understood by users, hence they are thought to be the new, new thing, capable of answering all questions, from “Will my brand’s presence on Facebook help its equity?” to “ Will a network bring peace to the Middle East?” Fuzzy logic should help new users proceed from naïve enthusiasm to thoughtful application, because fuzzification embraces approximation; huge questions cannot be answered with simple, precise estimates, but a fuzzy approach can put the inquirer in the rough vicinity of an answer (Martínez-López and Casillas, 2008).
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References
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Iacobucci, D. (2010). Fuzzy Networks. In: Casillas, J., Martínez-López, F.J. (eds) Marketing Intelligent Systems Using Soft Computing. Studies in Fuzziness and Soft Computing, vol 258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15606-9_6
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DOI: https://doi.org/10.1007/978-3-642-15606-9_6
Publisher Name: Springer, Berlin, Heidelberg
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