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Open-Source Monitoring, Search and Analytics Over Social Media

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Internet Science (INSCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10673))

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Abstract

The paper describes a technical demonstration of an open-source framework for monitoring, analysis and search over multiple social media platforms. The framework is intended to be a valuable tool for media intelligence professionals, as well as a framework and testbed for scientists and developers with interest in social media research.

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Notes

  1. 1.

    http://socialsensor.eu/.

  2. 2.

    https://revealproject.eu/.

  3. 3.

    http://step4youth.eu/.

  4. 4.

    http://www.hackair.eu/.

  5. 5.

    https://github.com/MKLab-ITI/.

  6. 6.

    https://redis.io/.

  7. 7.

    https://www.mongodb.com/.

  8. 8.

    http://lucene.apache.org/solr/.

  9. 9.

    https://www.docker.com.

  10. 10.

    Available on: https://github.com/MKLab-ITI/mmdemo-dockerized.

  11. 11.

    https://www.graylog.org/.

  12. 12.

    https://docs.docker.com/compose/.

  13. 13.

    http://yaml.org/.

  14. 14.

    https://dev.twitter.com/rest/public/rate-limiting.

References

  1. Kaplan, A.M., Haenlein, M.: Users of the world, unite! the challenges and opportunities of social media. Bus. Horiz. 53(1), 59–68 (2010)

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  2. Aiello, L.M., Petkos, G., Martin, C., Corney, D., Papadopoulos, S., Skraba, R., Goker, A., Kompatsiaris, Y., Jaimes, A.: Sensing trending topics in twitter. IEEE Trans. Multimedia 15(6), 1268–1282 (2013)

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  3. Mejova, Y., Weber, I., Macy, M.W.: Twitter: A Digital Socioscope. Cambridge University Press (2015)

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  4. Fan, W., Gordon, M.D.: The power of social media analytics. Commun. ACM 57(6), 74–81 (2014)

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  5. Diplaris, S., Papadopoulos, S., Kompatsiaris, I., Goker, A., Macfarlane, A., Spangenberg, J., Hacid, H., Maknavicius, L., Klusch, M.: Socialsensor: sensing user generated input for improved media discovery and experience. In: Proceedings of the 21st International Conference on World Wide Web, WWW 2012 Companion, 243–246. ACM (2012)

    Google Scholar 

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Acknowledgements

This work was supported by the STEP (H2020-649493) and HackAir (H2020-688363) projects, funded by the European Commission.

Author information

Authors and Affiliations

  1. Centre for Research and Technology Hellas, Thessaloniki, Greece

    Manos Schinas, Symeon Papadopoulos, Lazaros Apostolidis & Yiannis Kompatsiaris

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Manos Schinas & Pericles A. Mitkas

Authors
  1. Manos Schinas
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  2. Symeon Papadopoulos
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  3. Lazaros Apostolidis
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  4. Yiannis Kompatsiaris
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  5. Pericles A. Mitkas
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Corresponding author

Correspondence to Manos Schinas .

Editor information

Editors and Affiliations

  1. CERTH, Information Technologies Institute, Thessaloniki, Greece

    Ioannis Kompatsiaris

  2. University of Warwick, Coventry, United Kingdom

    Jonathan Cave

  3. CERTH, Information Technologies Institute, Thessaloniki, Greece

    Anna Satsiou

  4. Technical University Munich, Garching, Germany

    Georg Carle

  5. T6 Ecosystems, Rome, Italy

    Antonella Passani

  6. CERTH, Information Technologies Institute, Thessaloniki, Greece

    Efstratios Kontopoulos

  7. CERTH, Information Technologies Institute, Thessaloniki, Greece

    Sotiris Diplaris

  8. Stockholm University, Stockholm, Sweden

    Donald McMillan

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Schinas, M., Papadopoulos, S., Apostolidis, L., Kompatsiaris, Y., Mitkas, P.A. (2017). Open-Source Monitoring, Search and Analytics Over Social Media. In: Kompatsiaris, I., et al. Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10673. Springer, Cham. https://doi.org/10.1007/978-3-319-70284-1_28

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  • DOI: https://doi.org/10.1007/978-3-319-70284-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70283-4

  • Online ISBN: 978-3-319-70284-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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