Epistemic Network Analysis


Epistemic Network Analysis (ENA) is a method of identifying and quantifying connections among elements in coded data and representing them in dynamic network models. A key feature of the ENA tool is that it enables researchers compare different networks, both visually and through summary statistics that reflect the weighted structure of connections. The interface allows users to see the original data that contributed to each of the connections in the network representation. ENA can thus be used to address a wide range of qualitative and quantitative research questions.

Researchers have used ENA to analyze and visualize a wide range of phenomena, including: the cognitive connections that students make while solving complex problems; the interactions among different regions of the brain in fMRI data; social gaze behavior; and social networks, such as those that develop on Reddit or Twitter.

To get started, click here to access the user guide or watch a tutorial on ENA. Then you can launch the ENA tool.

Need help with your ENA analysis? Contact our ENA Outreach Coordinator to ask questions, get advice, or learn more about the tool.


This work was funded in part by the National Science Foundation (DRL-0918409, DRL-0946372, DRL-1247262, DRL-1418288, DRL-1661036, DRL-1713110, DUE-0919347, DUE-1225885, EEC-1232656, EEC-1340402, REC-0347000), the Wisconsin Alumni Research Foundation, and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.