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Ushahidi is an open source software application that collates and maps data using user-generated reports. It uses the concept of crowdsourcing serving as an initial model for what has been coined as "activist mapping" – the combination of social activism, citizen journalism and geographic information. Ushahidi allows local observers to submit reports…
The analysis highlights History and Products as prominent areas in the source structure around Ushahidi.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Ushahidi shows recurring relationship patterns in the source. For example, Ushahidi → ATMs, Christchurch, Christchurch Recovery Map, Coordination, February, Humanitarian Affairs, Information, Libya, March, Middle East, New Zealand, OCHA, OCHA's, On, SMS, Standby Volunteer Task Force, Team, The, The Task Force's Tech, This Another extracted example is Ushahidi → Al Jazeera, Berkman Center, Congo, Finally, Gaza War, Harvard Humanitarian Institute, India, It, June, Kenya, Malawi, May, Mexico, November, Soon, South Africa, Southeast African, The, Uganda, Zambia. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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TTTA extracted 200 structured relationships around Ushahidi. Examples in this analysis include Ushahidi → Employees → 31 and Ushahidi → Endowment → US$1,800,000. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ushahidi | Employees | 31 | 1.00 | infobox |
| Ushahidi | Endowment | US$1,800,000 | 1.00 | infobox |
| Ushahidi | Focus | activism, mapping | 1.00 | infobox |
| Ushahidi | Founded | 2008 | 1.00 | infobox |
| Ushahidi | Founder | Erik Hersman, Ory Okolloh, Juliana Rotich, David Kobia | 1.00 | infobox |
| Ushahidi | Key people | Erik Hersman, Juliana Rotich, David Kobia | 1.00 | infobox |
| Ushahidi | Location | Nairobi, Kenya | 1.00 | infobox |
| Ushahidi | Method | mapping and geospatial | 1.00 | infobox |
| Ushahidi | Origins | Crowdsourcing | 1.00 | infobox |
| Ushahidi | Owner | Ushahidi, Inc. | 1.00 | infobox |
| Ushahidi | Region served | World | 1.00 | infobox |
| Ushahidi | Revenue | US$2,500,000–$4,000,000 | 1.00 | infobox |
| Ushahidi | Tax ID no. | 2652079 | 1.00 | infobox |
| Ushahidi | Type | 501(c)(3) | 1.00 | infobox |
| Ushahidi | Volunteers | 50 | 1.00 | infobox |
| Ushahidi | Website | ushahidi.com | 1.00 | infobox |
| Ushahidi | is a | open source software application that collates and maps data using user-generated reports | 0.90 | text |
The concept neighborhoods around Ushahidi bring nearby vocabulary together. In this analysis, examples include Reports, Crisis and Crowdmap. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ushahidi, one of the stronger structural bridges in this analysis connects Ushahidi with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Ushahidi to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ushahidi · EN edition · Analysis: TopicsToTalkAbout