# EgoWeb 2.0

> is a tool for graphing social networks

**Wikidata**: [Q126087799](https://www.wikidata.org/wiki/Q126087799)  
**Source**: https://4ort.xyz/entity/egoweb-2-0

## Summary  
EgoWeb 2.0 is a software tool designed for graphing and analyzing social networks. It enables users to visualize personal networks and perform network analysis, primarily within research contexts. The tool is listed in digital humanities and social science repositories such as the Social Sciences and Humanities Open Marketplace and the Text Analysis Portal for Research.

## Key Facts  
- Instance of: Software  
- Primary use: Network analysis, specifically social network graphing  
- Collections: Listed in the Social Sciences and Humanities Open Marketplace and the Text Analysis Portal for Research (TAPoR)  
- Described at: https://tapor.ca/tools/546 and https://marketplace.sshopencloud.eu/tool-or-service/tjoXDf  
- Language of documentation: English  
- Documentation retrieved: November 2022  

## FAQs  
### Q: What is EgoWeb 2.0 used for?  
A: EgoWeb 2.0 is used for graphing and analyzing social networks. It supports researchers in visualizing personal or egocentric networks and conducting structural analysis of interpersonal connections.  

### Q: Where can I find EgoWeb 2.0?  
A: EgoWeb 2.0 is documented in the Text Analysis Portal for Research (TAPoR) and the Social Sciences and Humanities Open Marketplace. Both platforms provide access to descriptions and metadata about the tool.  

### Q: Is EgoWeb 2.0 free to use?  
A: Based on available documentation, EgoWeb 2.0 is catalogued in open-access research platforms, suggesting it is accessible to researchers, though specific licensing terms are not detailed in the provided sources.  

## Why It Matters  
EgoWeb 2.0 plays a significant role in the domain of social network analysis by offering tools tailored to egocentric network visualization. As part of broader efforts in digital research infrastructure, it supports scholars in sociology, psychology, and communication studies who seek to understand relational structures between individuals. Its inclusion in curated platforms like TAPoR and SSH Open Marketplace underscores its relevance and utility in academic environments. By enabling intuitive graphical representations of personal networks, EgoWeb 2.0 facilitates deeper insights into social dynamics and interconnectivity patterns.

## Notable For  
- Specialization in egocentric social network graphing  
- Inclusion in trusted academic tool repositories (TAPoR, SSH Open Marketplace)  
- Designed for qualitative and structural analysis of interpersonal networks  
- Part of curated collections supporting digital humanities and social sciences research  

## Body  

### Overview  
EgoWeb 2.0 is a software application categorized under network analysis tools. It focuses on the visualization and interpretation of egocentric social networks—networks centered around a single individual (ego) and their direct connections (alters).  

### Functionality  
The primary function of EgoWeb 2.0 is to support researchers in mapping and analyzing personal networks. It allows users to generate graphical representations of relationships, which can then be analyzed for structural properties such as density, centrality, and clustering.  

### Platforms and Accessibility  
EgoWeb 2.0 is documented in two major online portals:  
- **Text Analysis Portal for Research (TAPoR)** – Tool ID: 546  
- **Social Sciences and Humanities Open Marketplace** – Entry identifier: tjoXDf  

Both entries confirm its classification as a software tool with applications in network analysis.  

### Technical Metadata  
- Instance of: Software  
- Use: Network analysis  
- Language: English  
- Documentation date: November 2022  

These descriptors align with its purpose as a research-oriented tool embedded within scholarly infrastructures.  

### Research Context  
Its presence in curated academic collections indicates that EgoWeb 2.0 meets standards for usability and relevance in digital scholarship. Researchers working in fields involving relational data benefit from its capacity to translate abstract social ties into visual models.

## References

1. [Source](https://marketplace.sshopencloud.eu/tool-or-service/tjoXDf)
2. [Source](https://tapor.ca/tools/546)