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Fuzzy Concepts in Small Worlds and the Identification of Leaders in Social Networks

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 443))

Abstract

In the study of the Social Networks, the Small World phenomenon appears frequently. We apply some techniques of graph theory and fuzzy sets to characterize the Small World features as well as the existence of the figure of leader in Social Networks. These techniques help to the conceptual formalization in relational networks analysis, by transforming linguistic and human-focused manner concepts related to social networks in some formal representation. These techniques are also applied when the similarity among nodes wants to be measured in order to study the current homophily present in a Network.

This work has been partially supported by the project TIN2008-06872-C04-02.

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© 2014 Springer International Publishing Switzerland

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Casasús-Estellés, T., Yager, R.R. (2014). Fuzzy Concepts in Small Worlds and the Identification of Leaders in Social Networks. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-08855-6_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08854-9

  • Online ISBN: 978-3-319-08855-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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