Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows

Szilvia Zörgo

doi:10.1007/978-3-031-31726-2_11

Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

Depending on analytical goals and techniques, qualitative data may be coded and segmented to investigate code or code co-occurrence frequencies. As codes are relevant aspects of data vis-à-vis the topic of inquiry, segments are meaningful divisions of those data. To explore various modes of segmentation, their underlying assumptions, and effects on potential models, the framework and terminology of Epistemic Network Analysis was employed as an analytical tool where coding and segmentation both contribute to data visualization. Three operationalizations of segmentation are elaborated: moving, infinite, and whole conversation stanza windows and demonstrated through instances where each of these may be applicable to data.

Original language	English
Title of host publication	Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Proceedings
Editors	Crina Damsa, Amanda Barany
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Chapter	11
Pages	146-162
Number of pages	17
Volume	1785
ISBN (Electronic)	9783031317262
ISBN (Print)	9783031317255
DOIs	https://doi.org/10.1007/978-3-031-31726-2_11
Publication status	Published - 2023
Event	4th International Conference on Quantitative Ethnography - Copenhagen, Denmark Duration: 15 Oct 2022 → 19 Oct 2022 Conference number: 4 https://www.icqe22.org/

Publication series

Series	Communications in Computer and Information Science
Volume	1785 CCIS
ISSN	1865-0929

Conference

Conference	4th International Conference on Quantitative Ethnography
Abbreviated title	ICQE 2022
Country/Territory	Denmark
City	Copenhagen
Period	15/10/22 → 19/10/22
Internet address	https://www.icqe22.org/

Keywords

Data Segmentation
Epistemic Network Analysis
Methodology

Access to Document

10.1007/978-3-031-31726-2_11

Cite this

Zörgo, Szilvia. / Segmentation and Code Co-occurrence Accumulation : Operationalizing Relational Context with Stanza Windows. Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Proceedings. editor / Crina Damsa ; Amanda Barany. Vol. 1785 Cham : Springer Nature Switzerland AG, 2023. pp. 146-162 (Communications in Computer and Information Science, Vol. 1785 CCIS).

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title = "Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows",

abstract = "Depending on analytical goals and techniques, qualitative data may be coded and segmented to investigate code or code co-occurrence frequencies. As codes are relevant aspects of data vis-{\`a}-vis the topic of inquiry, segments are meaningful divisions of those data. To explore various modes of segmentation, their underlying assumptions, and effects on potential models, the framework and terminology of Epistemic Network Analysis was employed as an analytical tool where coding and segmentation both contribute to data visualization. Three operationalizations of segmentation are elaborated: moving, infinite, and whole conversation stanza windows and demonstrated through instances where each of these may be applicable to data.",

keywords = "Data Segmentation, Epistemic Network Analysis, Methodology",

author = "Szilvia Z{\"o}rgo",

note = "Funding Information: This project received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 101028644, as well as from University Fund Limburg/SWOL. The opinions, findings, and conclusions do not reflect the views of the funding agency, cooperating institutions, or other individuals. Thank you to Andrew Ruis for his insights on this paper. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International Conference on Quantitative Ethnography, ICQE 2022 ; Conference date: 15-10-2022 Through 19-10-2022",

year = "2023",

doi = "10.1007/978-3-031-31726-2_11",

language = "English",

isbn = "9783031317255",

volume = "1785",

series = "Communications in Computer and Information Science",

publisher = "Springer Nature Switzerland AG",

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editor = "Crina Damsa and Amanda Barany",

booktitle = "Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Proceedings",

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Zörgo, S 2023, Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows. in C Damsa & A Barany (eds), Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Proceedings. vol. 1785, Springer Nature Switzerland AG, Cham, Communications in Computer and Information Science, vol. 1785 CCIS, pp. 146-162, 4th International Conference on Quantitative Ethnography, Copenhagen, Denmark, 15/10/22. https://doi.org/10.1007/978-3-031-31726-2_11

Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows. / Zörgo, Szilvia.
Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Proceedings. ed. / Crina Damsa; Amanda Barany. Vol. 1785 Cham: Springer Nature Switzerland AG, 2023. p. 146-162 (Communications in Computer and Information Science, Vol. 1785 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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AB - Depending on analytical goals and techniques, qualitative data may be coded and segmented to investigate code or code co-occurrence frequencies. As codes are relevant aspects of data vis-à-vis the topic of inquiry, segments are meaningful divisions of those data. To explore various modes of segmentation, their underlying assumptions, and effects on potential models, the framework and terminology of Epistemic Network Analysis was employed as an analytical tool where coding and segmentation both contribute to data visualization. Three operationalizations of segmentation are elaborated: moving, infinite, and whole conversation stanza windows and demonstrated through instances where each of these may be applicable to data.

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Zörgo S. Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows. In Damsa C, Barany A, editors, Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Proceedings. Vol. 1785. Cham: Springer Nature Switzerland AG. 2023. p. 146-162. (Communications in Computer and Information Science, Vol. 1785 CCIS). doi: 10.1007/978-3-031-31726-2_11