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Socneto: A Scent of Current Network Overview

(Demonstration Paper)

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  • First Online:
Research Challenges in Information Science (RCIS 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 415))

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Abstract

For more than a decade already, there has been an enormous growth of social networks and their audiences. As people post about their life and experiences, comment on other people’s posts, and discuss all sorts of topics, they generate a tremendous amount of data that are stored in these networks. It is virtually impossible for a user to get a concise overview about any given topic.

Socneto is an extensible framework allowing users to analyse data related to a chosen topic from selected social networks. A typical use case is studying sentiment about a public topic (e.g., traffic, medicine etc.) after an important press conference, tracking opinion evolution about a new product on the market, or comparing stock market values and general public sentiment peaks of a company. An emphasis on modularity and extensibility of Socneto enables one to add/replace parts of the analytics pipeline in order to utilise it for a specific use case or to study and compare various analytical approaches.

Supported by the SVV project no. 260588.

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Notes

  1. 1.

    https://twitter.com/

  2. 2.

    https://www.reddit.com/

  3. 3.

    https://www.ksi.mff.cuni.cz/sw/socneto/

  4. 4.

    https://kafka.apache.org/

  5. 5.

    Technical details can be found in the documentation at the web page of Socneto.

  6. 6.

    https://www.postgresql.org/

  7. 7.

    https://www.elastic.co/

  8. 8.

    https://www.elastic.co/what-is/elk-stack

  9. 9.

    https://www.elastic.co/logstash

  10. 10.

    https://www.lekari-bez-hranic.cz/

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  5. Monitora: Media Intelligence (2020) https://monitoramedia.com/

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  8. Zoomsphere: Social Media Analytics (2020), https://www.zoomsphere.com/social-media-analytics

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

    Jaroslav Knotek, Lukáš Kolek, Petra Vysušilová, Julius Flimmel & Irena Holubová

Authors
  1. Jaroslav Knotek
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  2. Lukáš Kolek
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  3. Petra Vysušilová
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  4. Julius Flimmel
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  5. Irena Holubová
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Corresponding author

Correspondence to Irena Holubová .

Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, Paris, France

    Samira Cherfi

  2. Fondazione Bruno Kessler, Trento, Italy

    Anna Perini

  3. University Paris 1 Panthéon-Sorbonne, Paris, France

    Selmin Nurcan

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Knotek, J., Kolek, L., Vysušilová, P., Flimmel, J., Holubová, I. (2021). Socneto: A Scent of Current Network Overview. In: Cherfi, S., Perini, A., Nurcan, S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-75018-3_37

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  • DOI: https://doi.org/10.1007/978-3-030-75018-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75017-6

  • Online ISBN: 978-3-030-75018-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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