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Assessment of Personal Importance Based on Social Networks

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MICAI 2007: Advances in Artificial Intelligence (MICAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4827))

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Abstract

People that interact, cooperate or share common activities within information systems can be treated as a social network. The analysis of individual social standings appears to be a crucial element for the assessment of personal importance of each member within such weighted social network. The new measure of person significance – social position that depends on both the strength of relationships an individual maintains and social positions of all their acquaintances, together with its basic features and comparative experiments are presented in this paper.

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Authors and Affiliations

  1. Wrocław University of Technology, Institute of Applied Computer Science Wyb.Wyspiañskiego 27, 50-370 Wrocław, Poland

    Przemysław Kazienko & Katarzyna Musiał

Authors
  1. Przemysław Kazienko
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  2. Katarzyna Musiał
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Alexander Gelbukh Ángel Fernando Kuri Morales

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© 2007 Springer-Verlag Berlin Heidelberg

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Kazienko, P., Musiał, K. (2007). Assessment of Personal Importance Based on Social Networks. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_50

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  • DOI: https://doi.org/10.1007/978-3-540-76631-5_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76630-8

  • Online ISBN: 978-3-540-76631-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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