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Building Profiles of Blog Users Based on Comment Graph Analysis: The Habrahabr.ru Case

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Analysis of Images, Social Networks and Texts (AIST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 542))

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Abstract

Our study is aimed at developing a language-independent tool for building user profiles of online community users. To that end the definition of a comment graph, a convenient representation of users interaction, is studied. The set of comment graph characteristics for users that form the basis of the profiling techniques is suggested. Finally, the user profiling method based on cluster analysis is presented. The described method was applied to Habrahabr data set.

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Notes

  1. 1.

    http://habrahabr.ru/.

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Authors and Affiliations

  1. Higher School of Economics National Research University, Moscow, Russia

    Alexandra Barysheva, Mikhail Petrov & Rostislav Yavorskiy

Authors
  1. Alexandra Barysheva
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  2. Mikhail Petrov
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  3. Rostislav Yavorskiy
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Corresponding author

Correspondence to Rostislav Yavorskiy .

Editor information

Editors and Affiliations

  1. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  2. Wolverhampton, United Kingdom

    Natalia Konstantinova

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Alexander Panchenko

  4. National Research University Higher School of Economics, Moscow, Russia

    Dmitry Ignatov

  5. Ural Federal University, Yekaterinbug, Russia

    Valeri G. Labunets

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Barysheva, A., Petrov, M., Yavorskiy, R. (2015). Building Profiles of Blog Users Based on Comment Graph Analysis: The Habrahabr.ru Case. In: Khachay, M., Konstantinova, N., Panchenko, A., Ignatov, D., Labunets, V. (eds) Analysis of Images, Social Networks and Texts. AIST 2015. Communications in Computer and Information Science, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-26123-2_25

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  • DOI: https://doi.org/10.1007/978-3-319-26123-2_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26122-5

  • Online ISBN: 978-3-319-26123-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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