Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Seversk (Russian: Се́верск, IPA: ) is a closed city in Tomsk Oblast, Russia, located 15 kilometers (9.3 mi) northwest of Tomsk on the right bank of the Tom River. The population was 108,590 at the 2010 census and 109,106 at the 2002 census.
The analysis highlights Geography and Economy as prominent areas in the source structure around Seversk.
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.
Explore different angles and find fresh ideas to shape your next piece of content.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around Seversk shows recurring relationship patterns in the source. For example, Seversk → April, Following, March, Nuclear, One, Russia, Russia's, SGCE, Siberian Chemical Combine, Sibirskaya Nuclear Power Plant, Tomsk-7, United States Another extracted example is Seversk → President Boris Yeltsin, Pyaty Pochtovy, Soviet, Soviet Union, Tomsk, Tomsk-7, Upon. 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.
city tomsk tomsk-7 oblast nuclear closed needed located russia russian томской области explosion 100 right status от pyaty pochtovy 1992
TTTA extracted 51 structured relationships around Seversk. Examples in this analysis include Seversk → City status since → 1956 and Seversk → Country → Russia. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Seversk | City status since | 1956 | 1.00 | infobox |
| Seversk | Country | Russia | 1.00 | infobox |
| Seversk | Dialing code | +7 3823 | 1.00 | infobox |
| Seversk | Elevation | 90 m (300 ft) | 1.00 | infobox |
| Seversk | Federal subject | Tomsk Oblast | 1.00 | infobox |
| Seversk | Founded | 1949 | 1.00 | infobox |
| Seversk | OKTMO ID | 69741000001 | 1.00 | infobox |
| Seversk | Postal code | 636000 | 1.00 | infobox |
| Seversk | Time zone | UTC+7 (MSK+4 ) | 1.00 | infobox |
| Seversk | Website | seversknet.ru | 1.00 | infobox |
| Seversk | • Capital of | Seversk City Under Oblast Jurisdiction | 1.00 | infobox |
| Seversk | • Capital of | Seversk Urban Okrug | 1.00 | infobox |
| Seversk | • Estimate (2025) | 104,982 (−3.3%) | 1.00 | infobox |
| Seversk | • Mayor | Nikolay Didenko | 1.00 | infobox |
| Seversk | • Rank | 149th in 2010 | 1.00 | infobox |
| Seversk | • Subordinated to | Seversk City Under Oblast Jurisdiction | 1.00 | infobox |
| Seversk | • Total | 108,590 | 1.00 | infobox |
| Seversk | • Urban okrug | Seversk Urban Okrug | 1.00 | infobox |
The concept neighborhoods around Seversk bring nearby vocabulary together. In this analysis, examples include Oblast, Founded and Jurisdiction. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Seversk, one of the stronger structural bridges in this analysis connects Seversk with Economy. 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 Seversk to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Geography & Economy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Seversk · EN edition · Analysis: TopicsToTalkAbout
