> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.5-discussion-share-graph.md).

# 2.5 Discussion Share Graph

Compare relative discussion signals for investment research.

## Discussion Share Graph

The Discussion Share Graph compares relative discussion signals for selected topics, brands, or products. Use it to investigate changes in attention within a defined comparison set.

The graph presents a transformed share-of-discussion measure. It is a directional research indicator, not a measure of market share, purchases, sentiment, or business performance.

**Customization**\
Discussion Share graphs can be customized to focus on specific entities and segments within the dataset.

Users can:

* Add or remove entities to define a custom comparison group
* Toggle individual segments on or off directly in the graph
* Refine the view to isolate specific narratives or product categories

These controls refine the comparison set for your research question.

### **Example Visualization**

<figure><img src="https://3154453413-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ft5RjqjXylbZA9Pzar20p%2Fuploads%2FCEwUJZxiZbmrz5f7hj9l%2Fimage.png?alt=media&amp;token=76c6a185-69ce-4494-9bc6-dbd5bb07a8cf" alt=""><figcaption></figcaption></figure>

#### **Use Cases**

Compare directional changes across selected entities.\
Investigate discussion shifts with independent research.\
Review [2.3 Social Discussion Analysis](/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.3-social-discussion-analysis.md) for context.

**Discussion Share Graph Controls:** Enables users to select or remove sections within the graph to focus on specific segments of discussion data.

**Discussion Share Decomposition:** Decomposition groups available related discussion and search signals for further review.

Coverage, classifications, and timing vary. Results may be incomplete, delayed, or revised.

<figure><img src="https://3154453413-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ft5RjqjXylbZA9Pzar20p%2Fuploads%2Fay7XeY1U5rwKudrh1Cm8%2FScreenshot%202026-04-13%20at%202.05.55%E2%80%AFPM.png?alt=media&amp;token=1482a69c-5daf-47b5-9471-e152bb093be7" alt=""><figcaption></figcaption></figure>

<figure><img src="https://3154453413-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ft5RjqjXylbZA9Pzar20p%2Fuploads%2FD03qnEibhwynlZ7Xu6rU%2FScreenshot%202026-04-13%20at%202.06.14%E2%80%AFPM.png?alt=media&amp;token=efddd906-6621-4249-a31c-c4586e09402f" alt=""><figcaption></figcaption></figure>
