Computing Platform for Virtual Economic Activities Index

  • Inara Opmane
  • Rihards Balodis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10750)


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.


Economic activity index Call Description Record  Internet Log Files Big data computational platform Computing facility 


  1. 1.
    Hansen, B.E.: Econometrics, Department of Economics, University of Wisconsin (2000 2017)Google Scholar
  2. 2.
    Read Wooldrige: Nature of econometrics. Economic data. Chairat Aemkulwat (2013). Accessed 16 Aug 2017
  3. 3.
    Overview and Economic Data Chapter 1: The nature of econometrics and economic data, econometrics I fall 2009, what is econometrics?, The Structure of Economic Data, Read Wooldrige (2013), Chapter 1Google Scholar
  4. 4.
    Moore, G.H.: Business Economics. Palgrave Macmillan J. 10(4), 45–48 (1975). Accessed 16 Aug 2017
  5. 5.
    Innovation impacts: measurement and assessment: socio-economic impacts of innovation investments of the government of Ontario. Council of Canadian Academies (2013). ISBN 978-1-926558-58-5. Accessed 16 Aug 2017
  6. 6.
    Cheah, S., Yu. C.: Assessing economic impact of research and innovation originating from public research institutions and universities—case of Singapore PRIs. Triple Helix. J. Univ.-Ind.-Gov. Innov. Entrepreneurship 3(6) (2016). Accessed 16 Aug 2017
  7. 7.
    Antadze, N., Westley, F.R.: Impact metrics for social innovation: barriers or bridges to radical change? J. Soc. Entrepreneurship 3(2), 133–150 (2012)CrossRefGoogle Scholar
  8. 8.
    Griniece, E., Reid, A., Angelis, J.: Evaluating and monitoring the socio- economic impact of investment in research infrastructures. Technopolis group (2015). Accessed 16 Aug 2017
  9. 9.
    Measuring ICT: the Global Status of ICT Indicators. The United Nations Information and Communication Technologies Task Force (2005). Accessed 16 Aug 2017
  10. 10.
    Vu, P.: Measuring the Impact of ICT investments on economic growth. Accessed 16 Aug 2017
  11. 11.
    The Digital Economy and Society Index (DESI): European commission digital single market. Accessed 16 Aug 2017
  12. 12.
    Mobile Phone Network Data for Development: How analysis of Call Detail Records (CDRs) provides valuable information for humanitarian development action. Global Pulse (2013). Accessed 16 Aug 2017
  13. 13.
    Andrienko, G., Andrienko, N., Fuchs, G.: Multi-perspective analysis of mobile phone call data records: a visual analytics. Fraunhofer Institute IAIS, City University London. Accessed 16 Aug 2017
  14. 14.
    How Mobility Informs Epidemic Dynamics Districts Sierra Leone: Spatial multi-compartmental epidemic model districts mobility sierra leone. Accessed 16 Aug 2017
  15. 15.
    Real Impact Analytics: Leveraging anonymized telecom data to fight the Ebola outbreak, White Paper. Real Impact Analytics (2014). Accessed 16 Aug 2017
  16. 16.
    Panigutti, C., Tizzoni, M., Bajardi, P., Smoreda, Z., Colizza, V.: Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models. Roy. Soc. Open Sci. (2017). MathSciNetGoogle Scholar
  17. 17.
    Regulation (EU) 2016/679 of the European parliament and of the council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing directive 95/46/EC (General data protection regulation). EUR-Lex access to European Union law (2016). Accessed 16 Aug 2017
  18. 18.
    D’ Acquisto, G., Domingo-Ferrer, J., Kikiras, P., Torra, V., de Montjoye, Y.-A., Bourka, A.: Privacy by design in big data. An overview of privacy enhancing technologies in the era of big data analytics. European Union Agency for Network and Information Security ENISA (2015). ISBN: 978-92-9204-160-1.
  19. 19.
    Spindler, G., Schmechel, P.: Personal data and encryption in the European general data protection regulation (2016)Google Scholar
  20. 20.
    Balodis, R., Opmane, I., Truksans, L.: Unified computing facility design based on open source software. In: International Conference on Systems and Informatics (ICSAI 2012), pp. 337–342. IEEExplore Digital Library, Yantai University, Yantai (2012). IEEE Catalog Number: CFP1273R-CDR, ISBN: 978-1-4673-0197-8.
  21. 21.
    Balodis, R., Opmane, I.: Research e-infrastructure upgrade project at IMCS UL. In: Cluj-Napoca Romania Proceedings 5th Romania Tier 2 Federation Grid, Cloud & High Performance Computing Science, pp. 41–44 (2012). IEEE Catalog Number CFP12327-CDR. ISBN: 978-973-662-711-8Google Scholar
  22. 22.
    Balodis, R., Opmane, I., Milestones of complex computing facility assembling. In: Cluj-Napoca Romania Proceedings Grid, Cloud & High Performance Computing in Science (RO-LCG), pp. 10–16 (2015). IEEE Catalog Number: CFP15ROL-CDR. ISBN 978-606-737-039-3Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Mathematics and Computer ScienceUniversity of LatviaRigaLatvia

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