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International Conference on Internet Science

INSCI 2017: Internet Science pp 63–75Cite as

Computing Platform for Virtual Economic Activities Index

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10750))

Abstract

The authors enter three economic activity indices, which are calculated from the data in the virtual space on basis of Mobile Operator Call Description Records, Internet Log Files and News Portal audience textual comments and remarks analysis. The article provides the computing facility and the software specification for the Big Data computational platform. Indicates the need to comply this platform with strategy of data privacy requirements solutions and the visualization of results with data geographical mapping.

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Computer Science, University of Latvia, Raina Bulv. 29, Riga, LV-1459, Latvia

    Inara Opmane & Rihards Balodis

Authors
  1. Inara Opmane
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  2. Rihards Balodis
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Corresponding author

Correspondence to Inara Opmane .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Thessaloniki, Greece

    Sotiris Diplaris

  2. Information Technologies Institute, Thessaloniki, Greece

    Anna Satsiou

  3. SINTEF, Oslo, Norway

    Asbjørn Følstad

  4. National Center for Scientific Research, Agia Paraskevi, Greece

    Michail Vafopoulos

  5. SINTEF, Trondheim, Norway

    Thomas Vilarinho

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Opmane, I., Balodis, R. (2018). Computing Platform for Virtual Economic Activities Index. In: Diplaris, S., Satsiou, A., Følstad, A., Vafopoulos, M., Vilarinho, T. (eds) Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10750. Springer, Cham. https://doi.org/10.1007/978-3-319-77547-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-77547-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77546-3

  • Online ISBN: 978-3-319-77547-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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