Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space

Szilvia Zörgo; Dorottya Árva; Brendan Eagan

doi:10.1007/978-3-031-76335-9_9

Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space

Szilvia Zörgo^*, Dorottya Árva, Brendan Eagan

^*Corresponding author for this work

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

Abstract

Unified methods enable iteration and dialogue between qualitative data and their quantified form; Epistemic Network Analysis (ENA) is a common tool for modeling such data. Little guidance is available on how to interpret ENA models; we aim to contribute to filling this lacuna. We present approaches to interpreting ENA graphs (node size, connection strength, node proximity, etc.) and the space into which they are projected (plotted point locations, dimensions, etc.). These approaches are then elaborated with an example from an empirical study and contextualized via discussing their limitations and implications.

Original language	English
Title of host publication	Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings
Editors	Yoon Jeon Kim, Zachari Swiecki
Publisher	Springer
Pages	119-135
Number of pages	17
Volume	2278 CCIS
ISBN (Print)	9783031763342
DOIs	https://doi.org/10.1007/978-3-031-76335-9_9
Publication status	Published - 1 Jan 2024
Event	6th International Conference on Quantitative Ethnography 2024 - Philadelphia Duration: 3 Nov 2024 → 7 Nov 2024 Conference number: 6th https://www.qesoc.org/icqe24/

Publication series

Series	Communications in Computer and Information Science
Volume	2278 CCIS
ISSN	1865-0929

Conference

Conference	6th International Conference on Quantitative Ethnography 2024
Abbreviated title	ICQE 2024
City	Philadelphia
Period	3/11/24 → 7/11/24
Internet address	https://www.qesoc.org/icqe24/

Keywords

Data Modeling
Epistemic Network Analysis
Methodology

Access to Document

10.1007/978-3-031-76335-9_9

Cite this

Zörgo, Szilvia ; Árva, Dorottya ; Eagan, Brendan. / Making Sense of the Model : Interpreting Epistemic Networks and Their Projection Space. Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings. editor / Yoon Jeon Kim ; Zachari Swiecki. Vol. 2278 CCIS Springer, 2024. pp. 119-135 (Communications in Computer and Information Science, Vol. 2278 CCIS).

@inproceedings{cecd03edf6cf4df1b1871d5d0c174dcc,

title = "Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space",

abstract = "Unified methods enable iteration and dialogue between qualitative data and their quantified form; Epistemic Network Analysis (ENA) is a common tool for modeling such data. Little guidance is available on how to interpret ENA models; we aim to contribute to filling this lacuna. We present approaches to interpreting ENA graphs (node size, connection strength, node proximity, etc.) and the space into which they are projected (plotted point locations, dimensions, etc.). These approaches are then elaborated with an example from an empirical study and contextualized via discussing their limitations and implications.",

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

author = "Szilvia Z{\"o}rgo and Dorottya {\'A}rva and Brendan Eagan",

note = "Funding Information: This project received funding from the European Union\u2019s 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 agencies, cooperating institutions, or other individuals. Thank you to all participants and to Anna Jeney, Di\u00E1na Dunai, D\u00E1vid Major, and Annam\u00E1ria Cseh for their contribution to the original study serving as the example in this paper. The original study was supported by the \u00DANKP-22-3-I-SE-11 New National Excellence Program of the Ministry for Culture and Innovation from the Source of the National Research, Development and Innovation Fund and by the European Union and the Hungarian State (grant number: EFOP-3.4.3-16-2016-00007). Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 6th International Conference on Quantitative Ethnography 2024, ICQE 2024 ; Conference date: 03-11-2024 Through 07-11-2024",

year = "2024",

month = jan,

day = "1",

doi = "10.1007/978-3-031-76335-9_9",

language = "English",

isbn = "9783031763342",

volume = "2278 CCIS",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "119--135",

editor = "Kim, {Yoon Jeon} and Zachari Swiecki",

booktitle = "Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings",

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Zörgo, S, Árva, D & Eagan, B 2024, Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space. in YJ Kim & Z Swiecki (eds), Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings. vol. 2278 CCIS, Springer, Communications in Computer and Information Science, vol. 2278 CCIS, pp. 119-135, 6th International Conference on Quantitative Ethnography 2024, Philadelphia, 3/11/24. https://doi.org/10.1007/978-3-031-76335-9_9

Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space. / Zörgo, Szilvia; Árva, Dorottya; Eagan, Brendan.
Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings. ed. / Yoon Jeon Kim; Zachari Swiecki. Vol. 2278 CCIS Springer, 2024. p. 119-135 (Communications in Computer and Information Science, Vol. 2278 CCIS).

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

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T1 - Making Sense of the Model

T2 - 6th International Conference on Quantitative Ethnography 2024

AU - Zörgo, Szilvia

AU - Árva, Dorottya

AU - Eagan, Brendan

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PY - 2024/1/1

Y1 - 2024/1/1

N2 - Unified methods enable iteration and dialogue between qualitative data and their quantified form; Epistemic Network Analysis (ENA) is a common tool for modeling such data. Little guidance is available on how to interpret ENA models; we aim to contribute to filling this lacuna. We present approaches to interpreting ENA graphs (node size, connection strength, node proximity, etc.) and the space into which they are projected (plotted point locations, dimensions, etc.). These approaches are then elaborated with an example from an empirical study and contextualized via discussing their limitations and implications.

AB - Unified methods enable iteration and dialogue between qualitative data and their quantified form; Epistemic Network Analysis (ENA) is a common tool for modeling such data. Little guidance is available on how to interpret ENA models; we aim to contribute to filling this lacuna. We present approaches to interpreting ENA graphs (node size, connection strength, node proximity, etc.) and the space into which they are projected (plotted point locations, dimensions, etc.). These approaches are then elaborated with an example from an empirical study and contextualized via discussing their limitations and implications.

KW - Data Modeling

KW - Epistemic Network Analysis

KW - Methodology

U2 - 10.1007/978-3-031-76335-9_9

DO - 10.1007/978-3-031-76335-9_9

M3 - Conference article in proceeding

SN - 9783031763342

VL - 2278 CCIS

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BT - Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings

A2 - Kim, Yoon Jeon

A2 - Swiecki, Zachari

PB - Springer

Y2 - 3 November 2024 through 7 November 2024

ER -

Zörgo S, Árva D, Eagan B. Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space. In Kim YJ, Swiecki Z, editors, Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings. Vol. 2278 CCIS. Springer. 2024. p. 119-135. (Communications in Computer and Information Science, Vol. 2278 CCIS). doi: 10.1007/978-3-031-76335-9_9

Making Sense of the Model: Interpreting Epistemic Networks and Their Projection Space

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