Open ENA — Epistemic Network Analysis

Aprenda ENA tomando las decisiones del análisis.

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33 lecciones

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FirstGame mean network and ENA points. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
ModelizaciónIntermedio35 min30 jul 2026
Lección de la Academia ENA 13

Use Means Rotation for a Prespecified Two-Group Question

Use the shared synthetic design-talk dataset to practise deciding when the first ENA axis should align with the difference between exactly two prespecified group means, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

El cuerpo del tutorial revisado está disponible actualmente en inglés.

means rotationtwo-group contrastMR1
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Tan et al. (2024), figure 5 · CC BY 4.0

Mean network for all units in the expert model. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
ModelizaciónIntermedio35 min31 jul 2026
Lección de la Academia ENA 14

Interpret SVD Dimensions and Co-registration

Use the shared synthetic design-talk dataset to practise understanding what SVD axes summarize and whether network node positions are aligned well enough with projected unit coordinates for interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

El cuerpo del tutorial revisado está disponible actualmente en inglés.

singular value decompositionco-registrationvariance explained
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Tan et al. (2024), figure 27 · CC BY 4.0

Constructing an ENA model in rENA. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
ModelizaciónIntermedio35 min1 ago 2026
Lección de la Academia ENA 15

Reproduce an ENA Model Across Implementations

Use the shared synthetic design-talk dataset to practise checking whether two ENA implementations produce equivalent accumulated connections, normalized vectors, projections, and interpretations under matched settings, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

El cuerpo del tutorial revisado está disponible actualmente en inglés.

cross-implementation parityrENAjENA
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Tan et al. (2024), tutorial example · CC BY 4.0

Novice networks projected into the expert space. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Diseño de investigaciónIntermedio35 min2 ago 2026
Lección de la Academia ENA 16

Run Window and Segmentation Sensitivity as a Model Grid

Use the shared synthetic design-talk dataset to practise separating two coupled context decisions by evaluating a small prespecified grid of segmentation and moving-window alternatives, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

El cuerpo del tutorial revisado está disponible actualmente en inglés.

sensitivity gridsegmentationwindow size
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Tan et al. (2024), figure 28 · CC BY 4.0

Difference between the two mean ENA networks. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
InterpretaciónIntermedio35 min3 ago 2026
Lección de la Academia ENA 17

Read ENA Subtraction Networks Without Overclaiming

Use the shared synthetic design-talk dataset to practise interpreting a difference graph as edge-wise subtraction between comparable networks in one shared analytic space, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

El cuerpo del tutorial revisado está disponible actualmente en inglés.

subtraction networkdifference graphshared node positions
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Tan et al. (2024), figure 3 · CC BY 4.0

Source records highlighted within a stanza window. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
InterpretaciónInicial25 min4 ago 2026
Lección de la Academia ENA 18

Trace Every Interpreted Edge Back to Excerpts

Use the shared synthetic design-talk dataset to practise building a reproducible route from an interpreted network edge to the units, rows, and source excerpts that contributed to it, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

El cuerpo del tutorial revisado está disponible actualmente en inglés.

excerpt traceabilityedge provenanceinterpretive loop
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Tan et al. (2024), figure 13 · CC BY 4.0