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An Analysis of Trends and Connections in Google, Twitter, and Wikipedia

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HCI International 2020 - Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1226))

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Abstract

In this paper, we propose a system for extracting, storing, and analyzing the data provided by three well-known and widespread services available online. More specifically, the system can automatically collect a real-world dataset for a selected language and/or geographical region and match similar trends expressed through different keywords. Unlike previous studies in the same area, we avoided to focus on a specific aspect and explored which resonance different topics may have between one source and another, and how quickly each source generally reacts to external events.

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Notes

  1. 1.

    https://trends.google.com/trends/.

  2. 2.

    https://twitter.com/.

  3. 3.

    https://en.wikipedia.org/.

  4. 4.

    https://www.mongodb.com/.

  5. 5.

    https://aws.amazon.com/ec2/.

  6. 6.

    https://wiki.dbpedia.org/.

  7. 7.

    http://sentistrength.wlv.ac.uk/.

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Authors and Affiliations

  1. Department of Engineering, Roma Tre University, Via della Vasca Navale 79, 00146, Rome, Italy

    Gianluca Conti, Giuseppe Sansonetti & Alessandro Micarelli

Authors
  1. Gianluca Conti
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  2. Giuseppe Sansonetti
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  3. Alessandro Micarelli
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Corresponding author

Correspondence to Giuseppe Sansonetti .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

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Conti, G., Sansonetti, G., Micarelli, A. (2020). An Analysis of Trends and Connections in Google, Twitter, and Wikipedia. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1226. Springer, Cham. https://doi.org/10.1007/978-3-030-50732-9_21

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  • DOI: https://doi.org/10.1007/978-3-030-50732-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50731-2

  • Online ISBN: 978-3-030-50732-9

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