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Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machine

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Intelligent Information and Database Systems (ACIIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9622))

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Abstract

In order to solve link prediction problem with higher accuracy than achieved by classical supervised approaches we provide a proposal of the method based on information extracted from network using pre-processing done by Restricted Boltzmann Machine (RBM) and statistical inference models. Input space is fed to RBM in order to provide new sparse coded feature space that is used in order to estimate parameters of classical inference models. By accomplishing link prediction with proposed RBM pre-processing noticeable increase of all accuracy related measures was observed in comparison to state-of-the-art approaches.

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Acknowledgements

The work was partially supported by The National Science Centre, decision no. DEC-2013/09/B/ST6/02317 and the European Commission under the 7th Framework Programme, Coordination and Support Action, Grant Agreement Number 316097, Engine project.

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Authors and Affiliations

  1. Department of Computational Intelligence, Wrocaw University of Technology, Wyb.Wyspianskiego 27, 50-370, Wroclaw, Poland

    Roman Bartusiak, Tomasz Kajdanowicz & Adam Wierzbicki

  2. Department of Informatics, Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Adam Wierzbicki, Leszek Bukowski, Oskar Jarczyk & Kamil Pawlak

Authors
  1. Roman Bartusiak
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  2. Tomasz Kajdanowicz
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  3. Adam Wierzbicki
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  4. Leszek Bukowski
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  5. Oskar Jarczyk
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  6. Kamil Pawlak
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Corresponding authors

Correspondence to Roman Bartusiak or Tomasz Kajdanowicz .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Bartusiak, R., Kajdanowicz, T., Wierzbicki, A., Bukowski, L., Jarczyk, O., Pawlak, K. (2016). Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machine. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49390-8_9

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  • DOI: https://doi.org/10.1007/978-3-662-49390-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49389-2

  • Online ISBN: 978-3-662-49390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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