Abstract
Fuzzy relationships and their role in modeling weighted social relational networks are discussed. We describe how the idea of computing with words can provide a bridge between a network analyst’s linguistic description of social network concepts and the formal model of the network. We then turn to some examples of taking an analyst’s network concepts and formally representing them in terms of network properties. We first do this for the concept of clique and then for the idea of node importance. Finally we introduce the idea of vector–valued nodes and begin developing a technology of social network database theory.
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Yager, R.R. (2014). Social Network Database Querying Based on Computing with Words. In: Pivert, O., Zadrożny, S. (eds) Flexible Approaches in Data, Information and Knowledge Management. Studies in Computational Intelligence, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-319-00954-4_11
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DOI: https://doi.org/10.1007/978-3-319-00954-4_11
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