Find related topics. | Discover entities. | See connections. | Build a topical map.
Svojkov: Historie, Kulturní památky & Obecní správa
Svojkov (německy Schwoika) je obec v okrese Česká Lípa v Libereckém kraji. Leží v jižním podhůří Lužických hor. Žije zde 291 obyvatel. Nad obcí se tyčí masív pískovcových Svojkovských skal. Krajinnou dominantu severně od Svojkova tvoří dva vrcholy Zákupské pahorkatiny: Tisový vrch (540 m n. m.) a Slavíček (538 m n. m.).
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Svojkov topic overview
The analysis highlights Historie, Kulturní památky and Obecní správa as prominent areas in the source structure around Svojkov.
Related topics
33
Source areas
6
Connected nodes
39
Extracted relationships
87
Related term clusters
17
Bridge connections
39
What this topic covers Research coverage
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.
Overview · 10 topics
Historie · 9 topics
Obecní správa · 4 topics
Turismus · 4 topics
Kulturní památky · 3 topics
Odkazy · 3 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Advanced semantic analysis
How Svojkov connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Svojkov shows recurring relationship patterns in the source. For example, Svojkov → Cesta, Dříve, E10, Evropská, Kinské, Lípy, Modlivý, Okolí, Panny Marie, Patnáct, Pramen, Skalní, Slavíček, Sloupu, Starý Svojkov, Strážce, Ve Svojkově, Vede, Wagnerem, Zákup Another extracted example is Svojkov → Adam František, Chlumu, Důchodci, Jan, Jan Ješek, Jana Husa, Kepka, Kinských, Knoblochu, Kostnice, Nejvýznamnějším, Obec, Postavil, První, Sloupu, Svojkova, Svojtek. Use these groups to spot repeated connection types before inspecting the individual relationships.
Svojkov
Top relations
related to Turismus· 20
Svojkov → Cesta, Dříve, E10, Evropská, Kinské, Lípy, Modlivý, Okolí, Panny Marie, Patnáct, Pramen, Skalní, Slavíček, Sloupu, Starý Svojkov, Strážce, Ve Svojkově, Vede, Wagnerem, Zákup
related to Historie· 17
Svojkov → Adam František, Chlumu, Důchodci, Jan, Jan Ješek, Jana Husa, Kepka, Kinských, Knoblochu, Kostnice, Nejvýznamnějším, Obec, Postavil, První, Sloupu, Svojkova, Svojtek
related to Kulturní památky· 10
Svojkov → Dům, Josefa Schüllera, Karlem Kinským, Manny Marie, Neudörflu, Pak, Předáci, Skalní, SvojkovDům, Václava
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 87 structured relationships around Svojkov. Examples in this analysis include Svojkov → Adresa obecního úřadu → Svojkov 12 471 53 Svojkov [email protected] and Svojkov → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Svojkov bring nearby vocabulary together. In this analysis, examples include Skalní, Commons and Hrad. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
skalní hrad svojkov
Skalní
Václava
Svojkov
Commons
Dům
Hrad
Kaple
Století
Svojkova
Obcí
Počet
Česká
Svojkov
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
svojkov
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
hradu svojkov
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
svojkov, č.p. 67
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
svojkov, č.p. 6
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
hostinec, svojkov, č.p.97
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
svojkov, č.p. 92
Skalní
Commons
Hrad
Kaple
Dům
Počet
Století
Václava
Lípa
Česká
Obce
Svojkova
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Svojkov, one of the stronger structural bridges in this analysis connects Svojkov 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Svojkov
Nodes40
Edges39
Triples87
Avg. degree1.95
Density0.05
Components1
Source & methodology
TTTA analyzes the structure around Svojkov to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Kulturní památky & Obecní správa, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
