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Collective Classification, Structural Features

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Encyclopedia of Social Network Analysis and Mining

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Recommended Reading

  • Kazienko P, Kajdanowicz T (2012) Label-dependent node classification in the network. Neurocomputing 75(1):199–209

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Acknowledgments

This work was partially supported by the National Science Centre, Poland, the decision numbers DEC-2016/21/B/ST6/01463 and DEC-2016/21/D/ST6/02948.; by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 691152 (RENOIR); the Polish Ministry of Science and Higher Education fund for supporting internationally cofinanced projects in 2016–2019 (agreement no. 3628/H2020/2016/2).

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Authors and Affiliations

  1. Department of Computational Intelligence, ENGINE – The European Centre for Data Science, Wroclaw University of Science and Technology, Wroclaw, Poland

    Przemysław Kazienko & Tomasz Kajdanowicz

Authors
  1. Przemysław Kazienko
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  2. Tomasz Kajdanowicz
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Corresponding author

Correspondence to Przemysław Kazienko .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence (CPAMI), University of Waterloo, Waterloo, ON, Canada

    Fakhreddine Karray

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Kazienko, P., Kajdanowicz, T. (2017). Collective Classification, Structural Features. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_46-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_46-1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

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