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International Conference on Network Analysis

NET 2016: Computational Aspects and Applications in Large-Scale Networks pp 309–318Cite as

Commercial Astroturfing Detection in Social Networks

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS,volume 247)

Abstract

One of the major problem for recommendation services is commercial astroturfing. This work is devoted to constructing a model capable of detecting astroturfing in customer reviews based on network analysis. The model uses projecting a multipartite network to a unipartite graph, for which we detect communities and represent actors with falsified opinions.

Keywords

  • Social network analysis
  • Astroturfing
  • Bipartite network
  • Recommendation system

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  • DOI: 10.1007/978-3-319-96247-4_23
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Acknowledgements

The article was supported within the framework of a subsidy by the Russian Academic Excellence Project ‘5-100’ and RFBR grant 16-29-09583 “Methodology, techniques and tools of recognition and counteraction to organized information campaigns on the Internet”.

Author information

Authors and Affiliations

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

    Nadezhda Kostyakova, Ilia Karpov, Ilya Makarov & Leonid E. Zhukov

Authors
  1. Nadezhda Kostyakova
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  2. Ilia Karpov
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  3. Ilya Makarov
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  4. Leonid E. Zhukov
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Corresponding author

Correspondence to Ilya Makarov .

Editor information

Editors and Affiliations

  1. Higher School of Economics, National Research University, Nizhny Novgorod, Russia

    Valery A. Kalyagin

  2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  3. Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Oleg Prokopyev

  4. Higher School of Economics, National Research University, Nizhny Novgorod, Russia

    Irina Utkina

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Kostyakova, N., Karpov, I., Makarov, I., Zhukov, L.E. (2018). Commercial Astroturfing Detection in Social Networks. In: Kalyagin, V., Pardalos, P., Prokopyev, O., Utkina, I. (eds) Computational Aspects and Applications in Large-Scale Networks. NET 2016. Springer Proceedings in Mathematics & Statistics, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-96247-4_23

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