Units
The entities whose network structures are modeled and compared, such as people, teams, or documents.
Mission and method
Make relational thinking easier to learn, apply, and discuss.
ENA.HK is designed as a clear public entry point to Epistemic Network Analysis, with accurate concepts, transparent scope, and direct paths to primary resources.
What ENA makes visible
Epistemic Network Analysis is a method for identifying, quantifying, and visualizing connections among elements in coded data. It supports comparison while keeping interpretation tied to qualitative context.
The model begins with research design
An ENA graph is not a self-explanatory picture. Its meaning depends on how the data, units, conversations, codes, and comparison are defined.
Conversation
The bounded context in which coded elements may be considered connected.
Codes
Theory-informed or empirically developed indicators of meaningful ideas, actions, or practices.
Networks
Weighted summaries of code co-occurrence that can be visualized, interpreted, and compared.
Principles for responsible interpretation
Strong ENA work treats modeling choices as part of the argument and returns to the source evidence when explaining a pattern.
Theory first
Let the research question and conceptual framework guide what relationships should count.
Context preserved
Interpret model outputs with close attention to the data and setting that produced them.
Choices documented
Make units, windows, codes, normalization, rotation, and comparison decisions reviewable.
Claims calibrated
Use networks as evidence within a design, not as automatic proof of causation or quality.
Continue with primary ENA resources
Use the official webtool and resource library for software access, data preparation guidance, tutorials, and worked examples.