When using Co-occurrence Network, common questions usually focus on scenarios, chart interpretation, and readability improvements; this FAQ includes 4 common questions and a glossary.
FAQ
What scenarios is a Co-occurrence Network chart suitable for?
- A Co-occurrence Network chart is suitable for analyzing relationships between fields.
- Common scenarios include tag co-occurrence, keyword relationships, and user-interest analysis.
- If you want to review connection strength between fields directly in a dashboard, this chart is a practical option.
How should I interpret a Co-occurrence Network chart?
- Larger nodes usually mean the field appears more often.
- Thicker lines mean two fields appear together more frequently.
- If there is no line between nodes, there is no direct relationship between them.
What should I do if there are too many nodes to read clearly?
- Check whether the current data range is too broad.
- Use Data Filter to reduce the amount of data included in the chart.
- Keeping the number of nodes within about 20 can improve readability.
Why should I review the preview before applying changes?
- Settings in Type and Data and Chart Style directly affect the chart structure and display result.
- Reviewing the preview pane first helps you judge whether the current settings match your analysis goal.
- After confirming the result, click "OK" to reduce repeated adjustments.
Glossary
| Term | Definition |
|---|---|
| Co-occurrence | A situation where two or more fields appear in the same data record at the same time. |
| Node | A single object in the chart that represents a field, tag, or category. |
| Link line | A line connecting two nodes to show that a relationship exists between them. |
| Data Filter | A setting used to limit the data range included in chart calculation and display. |