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Steven Glenwood MacLean (* 14. prosince 1954 Ottawa, provincie Ontario, Kanada), původně fyzik, byl v letech 1983–2008 jedním z kanadských astronautů. Uskutečnil dva krátkodobé kosmické lety, druhý na Mezinárodní vesmírnou stanici. Poprvé vzlétl do vesmíru roku 1992 v raketoplánu Columbia při letu STS-52, podruhé roku 2006 v raketoplánu Atlantis při misi…
The analysis highlights Život, Overview and Odkazy as prominent areas in the source structure around Steven MacLean.
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 Steven MacLean shows recurring relationship patterns in the source. For example, Steven MacLean → Biographical, Dostupné, Glenwood MacLean, Houston, Johnson Space Center, Lyndon, MacLean, Obrázky, Ph, Steve, Steven, WikicitátechNASA, Wikimedia Commons Osoba Steven Another extracted example is Steven MacLean → Arthura Schawlowa, Doktorát, Nobelovy, Ph, Poté, Současně, Stanfordově, Torontu, York University, Yorské. 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.
roku vesmíru maclean letech kanadské prosince kosmické sts-52 sts-115 raketoplánu let 1983 hodin columbia steven kanadských 2008 kanada dní agentury
TTTA extracted 33 structured relationships around Steven MacLean. Examples in this analysis include Steven MacLean → Datum narození → 14. prosince 1954 (71 let) and Steven MacLean → Kosmonaut do → 2008. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Steven MacLean | Datum narození | 14. prosince 1954 (71 let) | 1.00 | infobox |
| Steven MacLean | Kosmonaut do | 2008 | 1.00 | infobox |
| Steven MacLean | Kosmonaut od | 5. prosince 1983 | 1.00 | infobox |
| Steven MacLean | Mise | STS-52, STS-115/ISS | 1.00 | infobox |
| Steven MacLean | Místo narození | Ottawa, provincie Ontario, Kanada | 1.00 | infobox |
| Steven MacLean | Pozdější zaměstnání | prezident Kanadské kosmické agentury (CSA) | 1.00 | infobox |
| Steven MacLean | Předchozí zaměstnání | fyzik | 1.00 | infobox |
| Steven MacLean | Státní příslušnost | Kanada | 1.00 | infobox |
| Steven MacLean | Čas ve vesmíru | 21 dní, 16 hodin a 3 minuty | 1.00 | infobox |
| Steven MacLean | related to Externí odkazy | Obrázky | 0.60 | section |
| Steven MacLean | related to Externí odkazy | Wikimedia Commons Osoba Steven | 0.60 | section |
| Steven MacLean | related to Externí odkazy | MacLean | 0.60 | section |
The concept neighborhoods around Steven MacLean bring nearby vocabulary together. In this analysis, examples include Steven, Fyzik and Kanada. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Steven MacLean, one of the stronger structural bridges in this analysis connects Steven MacLean 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 Steven MacLean to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Steven MacLean · CS edition · Analysis: TopicsToTalkAbout