TY - GEN
T1 - Development of ENA 3D
T2 - 6th International Conference on Quantitative Ethnography, ICQE 2024
AU - Yu, Jianxing
AU - Hu, Dongpin
AU - Wang, Ching Hsing
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Previous attempts in constructing epistemic networks in 3-dimensional space have faced criticism for being misguided. This paper seeks to contribute to the field of Quantitative Ethnography (QE) by introducing ENA 3D, a software that allows the interactive exploration of various dimensions in Epistemic Network Analysis (ENA) in 3D space. ENA utilizes means rotations and singular value decomposition to project the normalized adjacency matrix to the low dimensional space. Although the first and second dimensions, representing the maximum and secondary difference of groups, are commonly used to construct the 2D projection, the significance of the remaining dimensions are often overlooked. ENA 3D, however, changes this narrative by providing a platform for easy visualization of these neglected dimensions in 3D space. This tool enables network visualization, comparison, change tracking, statistical summary, and 2-dimensionalization. To demonstrate its capabilities, we apply ENA 3D to a Taiwanese discourse dataset, revealing the statistical significance between groups in the remaining dimensions.
AB - Previous attempts in constructing epistemic networks in 3-dimensional space have faced criticism for being misguided. This paper seeks to contribute to the field of Quantitative Ethnography (QE) by introducing ENA 3D, a software that allows the interactive exploration of various dimensions in Epistemic Network Analysis (ENA) in 3D space. ENA utilizes means rotations and singular value decomposition to project the normalized adjacency matrix to the low dimensional space. Although the first and second dimensions, representing the maximum and secondary difference of groups, are commonly used to construct the 2D projection, the significance of the remaining dimensions are often overlooked. ENA 3D, however, changes this narrative by providing a platform for easy visualization of these neglected dimensions in 3D space. This tool enables network visualization, comparison, change tracking, statistical summary, and 2-dimensionalization. To demonstrate its capabilities, we apply ENA 3D to a Taiwanese discourse dataset, revealing the statistical significance between groups in the remaining dimensions.
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U2 - 10.1007/978-3-031-76335-9_11
DO - 10.1007/978-3-031-76335-9_11
M3 - Conference contribution
AN - SCOPUS:85208712016
SN - 9783031763342
T3 - Communications in Computer and Information Science
SP - 152
EP - 165
BT - Advances in Quantitative Ethnography - 6th International Conference, ICQE 2024, Proceedings
A2 - Kim, Yoon Jeon
A2 - Swiecki, Zachari
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 3 November 2024 through 7 November 2024
ER -