Frame the question
Define the phenomenon, analytic units, and the context in which connections are meaningful.
Epistemic Network Analysis
See how ideas connect.
ENA models how concepts connect in discourse and practice, making patterns of thinking visible and comparable. ENA was proposed and developed by researchers and developers from Wisconsin Center for Education Research. Dr. Peter Hu Dongpin is the Initiator of the open access ENA Hub of Knowledge.
ENA
Conceptual network model
Open tools · Transparent methods
An open path from coded evidence to interpretable networks.
Open coded CSV or XLSX data directly in your browser, define the analysis, inspect two-dimensional network comparisons, and take the model specification and results with you.
Open by design
Free to enter and powered by the open jENA runtime, so the research workflow is not locked inside a proprietary analysis shell.
Local by default
Your source CSV or XLSX file is processed in this browser. The Open ENA workspace has no data-upload endpoint.
Reproducible in practice
Export model choices, diagnostics, figures, and the evidence boundaries needed to explain how a result was produced.
Open ENA webtool
Open ENA keeps the method visible: visual separation or a thicker edge is not, by itself, evidence of statistical significance.
A relational workflow
From coded data to a network model
ENA keeps theory, qualitative evidence, mathematical modeling, and visual interpretation connected throughout an analysis.
Code the evidence
Represent relevant ideas, actions, or practices with a transparent coding scheme.
Model co-occurrence
Accumulate connections among codes within the selected conversational or temporal window.
Compare structures
Interpret network patterns alongside the underlying qualitative evidence and research design.
Researcher × developer co-creation
Bring a research question, not a code package.
Bring the research question and methodological insight. Co-design the specification, evidence, and software with Dr. Peter Hu.
Learn the method before reading the graph.
Start with the analytic choices that give each node, connection, and comparison its meaning.