Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics

Jukka Huhtamäki, Martha G. Russell, Neil Rubens, Kaisa Still

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

    14 Citations (Scopus)

    Abstract

    This chapter introduces the Ostinato Model, an exploration-automation cycle for a user-centric, process-automated, data-driven visual network analytics. In terms of increasing the transparency of editorial processes on social media, this chapter contributes to the general theme of the book and particularly its secondvolume at hand in three levels. First, network analysis is a key approach in supporting explorative studies on the patterns and structures in between actors creating, curating, refining, and distributing socialmedia content and in estimating the authority and trust these actors have, therefore allowing for increasing the transparency of the editorial structure of Wikipedia co-authors, discussion and dissemination structures on Twitter and other social media. These structures can be modeled, represented, analyzed and visualized as networks to support the investigations and exploration. Second, the presented data-driven approach allows extending these investigations beyond the boundaries of individual social media and over long periods of time. Third, actors with different sets of skills from means to crawl online sources for data to domain knowledge allowing deep sensemaking can all fully engage into the different phases of the investigative process.
    Original languageEnglish
    Title of host publicationTransparency in Social Media
    Subtitle of host publicationTools, Methods and Algorithms for Mediating Online Interactions
    EditorsSorin Adam Matei, Martha G. Russell, Elisa Bertino
    PublisherSpringer
    Pages197-222
    ISBN (Electronic)978-3-319-18552-1
    ISBN (Print)978-3-319-18551-4
    DOIs
    Publication statusPublished - 2015
    MoE publication typeD2 Article in professional manuals or guides or professional information systems or text book material

    Publication series

    SeriesComputational Social Sciences

    Fingerprint

    Transparency
    Automation
    Electric network analysis
    Refining

    Keywords

    • data-driven
    • network analysis
    • visual analytics
    • process model
    • social media analytics
    • method development

    Cite this

    Huhtamäki, J., Russell, M. G., Rubens, N., & Still, K. (2015). Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics. In S. A. Matei, M. G. Russell, & E. Bertino (Eds.), Transparency in Social Media: Tools, Methods and Algorithms for Mediating Online Interactions (pp. 197-222). Springer. Computational Social Sciences https://doi.org/10.1007/978-3-319-18552-1_11
    Huhtamäki, Jukka ; Russell, Martha G. ; Rubens, Neil ; Still, Kaisa. / Ostinato : The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics. Transparency in Social Media: Tools, Methods and Algorithms for Mediating Online Interactions. editor / Sorin Adam Matei ; Martha G. Russell ; Elisa Bertino. Springer, 2015. pp. 197-222 (Computational Social Sciences).
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    abstract = "This chapter introduces the Ostinato Model, an exploration-automation cycle for a user-centric, process-automated, data-driven visual network analytics. In terms of increasing the transparency of editorial processes on social media, this chapter contributes to the general theme of the book and particularly its secondvolume at hand in three levels. First, network analysis is a key approach in supporting explorative studies on the patterns and structures in between actors creating, curating, refining, and distributing socialmedia content and in estimating the authority and trust these actors have, therefore allowing for increasing the transparency of the editorial structure of Wikipedia co-authors, discussion and dissemination structures on Twitter and other social media. These structures can be modeled, represented, analyzed and visualized as networks to support the investigations and exploration. Second, the presented data-driven approach allows extending these investigations beyond the boundaries of individual social media and over long periods of time. Third, actors with different sets of skills from means to crawl online sources for data to domain knowledge allowing deep sensemaking can all fully engage into the different phases of the investigative process.",
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    author = "Jukka Huhtam{\"a}ki and Russell, {Martha G.} and Neil Rubens and Kaisa Still",
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    Huhtamäki, J, Russell, MG, Rubens, N & Still, K 2015, Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics. in SA Matei, MG Russell & E Bertino (eds), Transparency in Social Media: Tools, Methods and Algorithms for Mediating Online Interactions. Springer, Computational Social Sciences, pp. 197-222. https://doi.org/10.1007/978-3-319-18552-1_11

    Ostinato : The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics. / Huhtamäki, Jukka; Russell, Martha G.; Rubens, Neil; Still, Kaisa.

    Transparency in Social Media: Tools, Methods and Algorithms for Mediating Online Interactions. ed. / Sorin Adam Matei; Martha G. Russell; Elisa Bertino. Springer, 2015. p. 197-222 (Computational Social Sciences).

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

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    AU - Russell, Martha G.

    AU - Rubens, Neil

    AU - Still, Kaisa

    PY - 2015

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    AB - This chapter introduces the Ostinato Model, an exploration-automation cycle for a user-centric, process-automated, data-driven visual network analytics. In terms of increasing the transparency of editorial processes on social media, this chapter contributes to the general theme of the book and particularly its secondvolume at hand in three levels. First, network analysis is a key approach in supporting explorative studies on the patterns and structures in between actors creating, curating, refining, and distributing socialmedia content and in estimating the authority and trust these actors have, therefore allowing for increasing the transparency of the editorial structure of Wikipedia co-authors, discussion and dissemination structures on Twitter and other social media. These structures can be modeled, represented, analyzed and visualized as networks to support the investigations and exploration. Second, the presented data-driven approach allows extending these investigations beyond the boundaries of individual social media and over long periods of time. Third, actors with different sets of skills from means to crawl online sources for data to domain knowledge allowing deep sensemaking can all fully engage into the different phases of the investigative process.

    KW - data-driven

    KW - network analysis

    KW - visual analytics

    KW - process model

    KW - social media analytics

    KW - method development

    U2 - 10.1007/978-3-319-18552-1_11

    DO - 10.1007/978-3-319-18552-1_11

    M3 - Chapter or book article

    SN - 978-3-319-18551-4

    T3 - Computational Social Sciences

    SP - 197

    EP - 222

    BT - Transparency in Social Media

    A2 - Matei, Sorin Adam

    A2 - Russell, Martha G.

    A2 - Bertino, Elisa

    PB - Springer

    ER -

    Huhtamäki J, Russell MG, Rubens N, Still K. Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics. In Matei SA, Russell MG, Bertino E, editors, Transparency in Social Media: Tools, Methods and Algorithms for Mediating Online Interactions. Springer. 2015. p. 197-222. (Computational Social Sciences). https://doi.org/10.1007/978-3-319-18552-1_11