Open ENA — Epistemic Network Analysis

Aprenda ENA tomando as decisões da análise.

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Binary code columns in the tutorial dataset. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIntermédio35 min23 de jul. de 2026
Lição da Academia ENA 06

Audit Coding Reliability and Consensus Before ENA

Use the shared synthetic design-talk dataset to practise testing whether the codebook is applied consistently enough for connections among codes to have a stable interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

O corpo do tutorial revisto está atualmente disponível em inglês.

coding reliabilityconsensus codingcodebook revision
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Tan et al. (2024), tutorial example · CC BY 4.0

RescuShell tutorial dataset: first three records. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIntermédio35 min10 de ago. de 2026
Lição da Academia ENA 23

Prepare Multimodal Events for ENA

Use the shared synthetic design-talk dataset to practise aligning speech, action, sensor, screen, or spatial events on a defensible common timeline before modeling cross-modal connections, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

O corpo do tutorial revisto está atualmente disponível em inglês.

multimodal dataevent alignmentsensor traces
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Tan et al. (2024), tutorial example · CC BY 4.0

Binary code columns in the tutorial dataset. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIntermédio35 min11 de ago. de 2026
Lição da Academia ENA 24

Validate Automated Codes Before They Enter ENA

Use the shared synthetic design-talk dataset to practise evaluating whether model-generated labels are accurate enough for relational analysis and how classification errors propagate into edges, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

O corpo do tutorial revisto está atualmente disponível em inglês.

automated codingclassifier validationerror propagation
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Tan et al. (2024), tutorial example · CC BY 4.0

An individual SecondGame ENA network and its point. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIniciante25 min13 de ago. de 2026
Lição da Academia ENA 25

Handle Missing Data and Exclusions Transparently

Use the shared synthetic design-talk dataset to practise distinguishing a true code absence, an all-zero observed unit, an unobserved period, a malformed row, and an excluded case, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

O corpo do tutorial revisto está atualmente disponível em inglês.

missing dataexclusion ruleszero versus missing
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Tan et al. (2024), figure 10 · CC BY 4.0

FirstGame mean ENA network. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIntermédio35 min16 de ago. de 2026
Lição da Academia ENA 28

Define a Zero-Network Policy Before Modeling

Use the shared synthetic design-talk dataset to practise handling units that have observed rows but no modeled code co-occurrences under the chosen window and code set, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

O corpo do tutorial revisto está atualmente disponível em inglês.

zero networkempty vectorsparse data
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Tan et al. (2024), figure 1 · CC BY 4.0