# Simple Authorship Clustering

> Clustering authorship based on the measure of the distance of texts

**Wikidata**: [Q126084561](https://www.wikidata.org/wiki/Q126084561)  
**Source**: https://4ort.xyz/entity/simple-authorship-clustering

## Summary
Simple Authorship Clustering is a software tool designed for the visual analysis and clustering of text data. It operates by grouping authorship based on the calculated distance between texts. The tool is listed in the Text Analysis Portal for Research (TAPOR) and the Social Sciences and Humanities Open Marketplace.

## Key Facts
*   **Entity Type:** Software
*   **Primary Function:** Clustering authorship based on the measure of the distance of texts
*   **Use Cases:** Data visualization, analysis, and visual analysis
*   **Collections:** Indexed in the Social Sciences and Humanities Open Marketplace and the Text Analysis Portal for Research (TAPOR)
*   **Documentation:** Described at `https://tapor.ca/tools/662` and `https://marketplace.sshopencloud.eu/tool-or-service/7Sr9Ph`
*   **Context:** Associated with the Analysis component of the LoadRunner software suite (related entity)

## FAQs
### Q: What is the primary purpose of Simple Authorship Clustering?
A: The tool is used to cluster authorship by measuring the "distance" between different texts. It serves as a utility for data visualization and visual analysis in text analysis.

### Q: Where can Simple Authorship Clustering be found?
A: It is listed in the Social Sciences and Humanities Open Marketplace and the Text Analysis Portal for Research (TAPOR). It is described in English on both platforms.

### Q: What category of software does this tool belong to?
A: It is classified as a software component, specifically functioning as a non-tangible executable component related to analysis tools.

## Why It Matters
Simple Authorship Clustering matters as a specialized utility within the digital humanities and text analysis fields. By providing a mechanism to quantify and visualize the "distance" between texts, it allows researchers to objectively group works by authorship. This capability is essential for stylometry, attribution studies, and analyzing large corpora where manual comparison is impractical.

Its inclusion in recognized academic infrastructures like the Social Sciences and Humanities Open Marketplace and TAPOR underscores its relevance to researchers. It bridges the gap between raw text data and visual patterns, facilitating a better understanding of authorship distribution.

## Notable For
*   **Methodology:** Specifically utilizes the "measure of the distance of texts" as its core clustering mechanism.
*   **Visual Analysis:** Distinctly categorized as a tool for "visual analysis" in addition to standard data processing.
*   **Academic Accessibility:** Maintained as a discoverable resource within major research portals (TAPOR and SSH Open Marketplace).

## Body

### Functionality and Methodology
Simple Authorship Clustering is a software tool designed to execute a specific method of textual analysis: clustering authorship. The tool operates by calculating the "distance" between texts. This metric serves as the basis for grouping texts, allowing users to visualize relationships between different pieces of writing.

### Application
The tool is explicitly categorized for three primary uses:
*   **Data Visualization:** Generating visual representations of the text clusters.
*   **Analysis:** Processing textual data for research purposes.
*   **Visual Analysis:** Combining visual methods with analytical processing.

### Availability and Classification
Simple Authorship Clustering is classified as a "software" entity (a non-tangible executable component). It is documented and accessible through two primary channels:
*   **Text Analysis Portal for Research (TAPOR):** Listed as tool ID 662.
*   **Social Sciences and Humanities Open Marketplace:** Listed as tool or service ID 7Sr9Ph.

The tool is related to the "Analysis" class found in the LoadRunner software suite. Descriptions and metadata are available in English, with records retrieved as of November 2022.

## References

1. [Source](https://marketplace.sshopencloud.eu/tool-or-service/7Sr9Ph)
2. [Source](https://tapor.ca/tools/662)