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Analysis of User Profiles in Social Networks

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Knowledge-Based Software Engineering (JCKBSE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 466))

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Abstract

Virtual social networks play an important role in modern life, they allow you to talk to people with different views and interests, to hold conferences, publish news, personal and public information. This paper describes the analysis virtual social network profiles largest Russian social network «Vkontakte». The study aims to identify the areas of interest of the user. We identify the interests of some users and compared them with the interests of their friends and consider the extent to which their interests coincide.

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References

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Author information

Authors and Affiliations

  1. Volgograd State Technical University Russia, 400005, Volgograd, Lenin Avenue, 28, Russia

    Alexander A. Chumak, Sergei S. Ukustov & Alla G. Kravets

Authors
  1. Alexander A. Chumak
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  2. Sergei S. Ukustov
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  3. Alla G. Kravets
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Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Lenin av., 64/1, k.20, Volgograd, Russia

    Alla Kravets

  2. Volgograd State Technical University, Lenin av., 28, k.1406, Volgograd, Russia

    Maxim Shcherbakov

  3. Volgograd State Technical University, Lenin av., 28, k.904, Volgograd, Russia

    Marina Kultsova

  4. Department of Administration Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, P.O. Box, 223-8522, Yokohama-shi, Kanagawa-ken, Japan

    Tadashi Iijima

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© 2014 Springer International Publishing Switzerland

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Chumak, A.A., Ukustov, S.S., Kravets, A.G. (2014). Analysis of User Profiles in Social Networks. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-11854-3_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11853-6

  • Online ISBN: 978-3-319-11854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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