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Neogén: Paleogeografie a klima, Život v neogénu & Neogén v Českém masívu
Neogén je geologická perioda patřící do éry kenozoika, která začala přibližně před 23 miliony let a její konec je kladen k hranici před 2,588 miliony let. Klasickou oblastí, kde byla definována spodní hranice, která je dána nástupem planktonických foraminifer Paragloborotalia kugleri, je u obce Carrosio, severně Janova v Itálii. Název byl poprvé použit…
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Neogén topic overview
The analysis highlights Paleogeografie a klima, Život v neogénu and Neogén v Českém masívu as prominent areas in the source structure around Neogén.
Related topics
135
Source areas
4
Connected nodes
139
Extracted relationships
51
Concept neighborhoods
20
Bridge connections
139
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.
Život v neogénu · 48 topics
Neogén v Českém masívu · 40 topics
Paleogeografie a klima · 27 topics
Overview · 20 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.
Explore all related topics Closing gaps
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Neogén 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 Neogén shows recurring relationship patterns in the source. For example, Neogén → Alpy, Ameriky, Antarktida, Antarktidě, Arktidě, Atlantského, Austrálie, Evropě, Gibraltarské, Himálají, Hladina, Jednotlivé, Jednou, Jižní Ameriky, Karpaty, Kaspické, Kavkaz, Konec, Na, Odtržení Antarktidy Another extracted example is Neogén → Africe, Bolivina, Borelis, Carchadon, Ceoloma, Congeria, Jižní Ameriky, Megalodon, Mezi, Miogypsina, Novém Zélandu, Palaeobatrachidae, Pecten, Phorusrhacose, Pokračuje, Pro, Právě, Rzehakia, Unio, Velcí. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 51 structured relationships around Neogén. Examples in this analysis include Neogén → related to Externí odkazy → Obrázky and Neogén → related to Externí odkazy → Wikimedia Commons. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Neogén
related to Externí odkazy
Obrázky
0.60
section
Neogén
related to Externí odkazy
Wikimedia Commons
0.60
section
Neogén
related to Fauna
Bolivina
0.60
section
Neogén
related to Fauna
Miogypsina
0.60
section
Neogén
related to Fauna
Borelis
0.60
section
Neogén
related to Fauna
Mezi
0.60
section
Neogén
related to Fauna
Ceoloma
0.60
section
Neogén
related to Fauna
Pro
0.60
section
Neogén
related to Fauna
Pecten
0.60
section
Neogén
related to Fauna
Congeria
0.60
section
Neogén
related to Fauna
Unio
0.60
section
Neogén
related to Fauna
Rzehakia
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods 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 Neogén bring nearby vocabulary together. In this analysis, examples include Hlavní, Hnědouhelné and Jednotná. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
miocén
Fáze
Pliocén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
sávská fáze
Miocén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
štýrská fáze
Miocén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
atická fáze
Miocén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
rodanská fáze
Miocén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
Neogén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
Slojí
neogén
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
Slojí
neogén v českém masívu
Hlavní
Hnědouhelné
Jednotná
Jezerní
Jíly
Kuřavky
Pouze
Písky
Přeplavené
Sloj
Sloje
Slojí
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 Neogén, one of the stronger structural bridges in this analysis connects Neogén with Život v neogénu. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Neogén — Život v neogénu· splits 91 ⟂ 49Neogén — Neogén v Českém masívu· splits 99 ⟂ 41Neogén — Paleogeografie a klima· splits 112 ⟂ 28Neogén — Overview· splits 119 ⟂ 21
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Neogén
Nodes140
Edges139
Triples51
Avg. degree1.99
Density0.014286
Components1
Source & methodology
TTTA analyzes the structure around Neogén to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Paleogeografie a klima, Život v neogénu & Neogén v Českém masívu, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
