Common questions about Co-occurrence Network on macOS cover 3 areas: suitable scenarios, chart interpretation, and readability when there are too many nodes.
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 association, and user-interest relationship analysis.
- Node size usually represents how often a field appears, while link thickness represents how often two fields appear together.
How do I read a Co-occurrence Network chart?
- Start with node size. Larger nodes usually mean the field appears more often.
- Then review link thickness. Thicker links usually mean a stronger relationship between two fields.
- If there is no link between nodes, there is no direct relationship shown between them.
What should I do if there are too many nodes to read clearly?
- Use Data Filter first to reduce the amount of data shown in the chart.
- It is recommended to keep the number of nodes within about 20 for better readability.
- If needed, adjust the layout and style settings to highlight the most important nodes.
Glossary
| Term | Definition |
|---|---|
| Co-occurrence Network | A chart that uses nodes and links to show which fields appear together. |
| Node | An individual object in the chart that represents a field, tag, or keyword. |
| Link Line | A line connecting two nodes to show that they have a co-occurrence relationship. |
| Data Filter | A setting that limits the data range or conditions used in the chart. |