跳至主要內容
Open ENA — Epistemic Network Analysis
首頁使命開放 ENA插件實驗室新聞學院關於
首頁使命開放 ENA插件實驗室新聞學院關於
← 返回 ENA 研究新聞

主題

model robustness

1 篇文章

Photorealistic editorial photograph of the same interview transcript divided into alternative segments that produce visibly different individual networks
會議論文2021
會議論文 15

Segmentation sensitivity was modest overall but substantial for some interview networks

Szilvia Zörgő, Zachari Swiecki, A. R. Ruis

2nd International Conference on Quantitative Ethnography (ICQE 2020)

How alternative segmentation decisions affect population-level and individual ENA features in continuous interview narratives. Segmentation changes did not necessarily alter overall model features, yet their effects on particular individual networks could be substantial. The magnitude and direction of sensitivity depend on the narrative structure, code distribution, window, and segmentation alternatives used in this dataset.

經審核的文章摘要目前以英文提供。

segmentation sensitivitysemi-structured interviewsindividual networks
閱讀審核摘要 →
Open ENA — Epistemic Network Analysis

一個用於學習、應用和討論認知網絡分析的多語言知識網站。

QE/ENA 與 webENA:鄭重致謝 UW–Madison、David Williamson Shaffer 及 Epistemic Analytics Lab。

完整致謝與參考文獻

導覽

首頁使命開放 ENA插件實驗室新聞學院關於

第一手資源

開啟 ENA 網頁工具官方 webENA瀏覽官方資源同儕評審教程
© 2026 Open-ENA.COM。版權所有。