Find related topics. | Discover entities. | See connections. | Build a topical map.
Bigeye thresher: Distribution and habitat, Biology and ecology & Human interactions
The bigeye thresher (Alopias superciliosus) is a species of thresher shark, family Alopiidae, found in temperate and tropical oceans worldwide. Like the other thresher sharks, nearly half its total length consists of the elongated upper lobe of the tail fin. Its common name comes from its enormous eyes, which are placed in keyhole-shaped sockets that…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Bigeye thresher topic overview
The analysis highlights Distribution and habitat, Biology and ecology and Human interactions as prominent areas in the source structure around Bigeye thresher.
Related topics
127
Source areas
6
Connected nodes
133
Extracted relationships
114
Related term clusters
30
Bridge connections
133
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.
Biology and ecology · 39 topics
Distribution and habitat · 31 topics
Overview · 20 topics
Human interactions · 17 topics
Taxonomy and phylogeny · 14 topics
Description · 6 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.
Start with your topic. Discover where to go next.
Explore different angles and find fresh ideas to shape your next piece of content.
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 Bigeye thresher 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 Bigeye thresher shows recurring relationship patterns in the source. For example, Bigeye thresher → Analysis, Angola, Arabian Sea, Atlantic, Atlantic Ocean, Australia, Bigeye, Brazil, California, Caribbean, DNA, Florida, Galapagos Islands, Guinea, Gulf, Hawaii, Indian Ocean, Indo-Pacific, Japan, Little Another extracted example is Bigeye thresher → Along, Brazil, Conservation, Cuba, Department, IGFA, In New Zealand, International Game Fish Association, International Union, IUCN, Japan, Mexico, Nature, New Zealand, New Zealand Threat Classification, Not Threatened, South Africa, Spain, System, Taiwanese. Use these groups to spot repeated connection types before inspecting the individual relationships.
Bigeye thresher
Top relations
related to Distribution and habitat· 35
Bigeye thresher → Analysis, Angola, Arabian Sea, Atlantic, Atlantic Ocean, Australia, Bigeye, Brazil, California, Caribbean, DNA, Florida, Galapagos Islands, Guinea, Gulf, Hawaii, Indian Ocean, Indo-Pacific, Japan, Little
related to Human interactions· 23
Bigeye thresher → Along, Brazil, Conservation, Cuba, Department, IGFA, In New Zealand, International Game Fish Association, International Union, IUCN, Japan, Mexico, Nature, New Zealand, New Zealand Threat Classification, Not Threatened, South Africa, Spain, System, Taiwanese
related to Taxonomy and phylogeny· 19
Bigeye thresher → Atlantic Ocean, Blaise Eitner, British, Cuba, Florida, Fossil, Hokuriku, Japan, Latin, London, Lowe's, Ma, Madeira, Middle Miocene, Proceedings, Richard Thomas Lowe, Royal Society, Transactions, Zoological Society
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 114 structured relationships around Bigeye thresher. Examples in this analysis include Bigeye thresher → is a → pelagic thresher and that only one of two occurs in any given location.Dorsal view of a bigeye thresher → instance of → and the numbers of the two species are negatively correlated. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Bigeye thresher
is a
pelagic thresher
0.90
text
that only one of two occurs in any given location.Dorsal view of a bigeye thresher
instance of
and the numbers of the two species are negatively correlated
0.80
text
showing upward-facing eyes
instance of
and the numbers of the two species are negatively correlated
0.80
text
prominent lateral grooves.Teeth
instance of
and the numbers of the two species are negatively correlated
0.80
text
maleTeeth
instance of
and the numbers of the two species are negatively correlated
0.80
text
femaleTeeth
instance of
and the numbers of the two species are negatively correlated
0.80
text
femaleFeedingThe bigeye thresher has larger teeth than other threshers
instance of
and the numbers of the two species are negatively correlated
0.80
text
feeds on a wider variety of prey
instance of
and the numbers of the two species are negatively correlated
0.80
text
mackerel
instance of
Known food items include schooling forage fish
0.80
text
herring
instance of
Known food items include schooling forage fish
0.80
text
benthic fishes such as hake
instance of
Known food items include schooling forage fish
0.80
text
whiting
instance of
Known food items include schooling forage fish
0.80
text
No triples extracted yet.
Related concept clusters Related term clusters
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 Bigeye thresher bring nearby vocabulary together. In this analysis, examples include Thresher, Threshers and Eyes. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bigeye thresher
Thresher
Threshers
Eyes
Two
Found
Shark
System
Temperature
New
Long
Species
Fin
bigeye thresher
Thresher
Threshers
Eyes
Two
Found
Shark
System
New
Temperature
Long
Species
Lowe
thresher shark
Species
Fisheries
Caught
Eyes
Fins
Thresher
One
System
New
Iucn
Around
Deep
vulnerable species
Iucn
Alopias
Shark
Description
Superciliosus
Lowe
Name
Deep
Fish
Species
Vulnerable
One
pelagic thresher
Eyes
System
New
Lowe
Tail
Around
Fin
Highly
Vulnerable
Two
Temperature
Known
common thresher
Eyes
System
New
Lowe
Tail
Around
Fin
Highly
Vulnerable
Two
Temperature
Known
shark fin soup
Fins
Upper
Species
Sharks
Tail
Fisheries
Caught
Thresher
One
Long
Threshers
Iucn
blue shark
Species
Fisheries
Caught
Fins
Thresher
One
Iucn
Around
Deep
Fin
Highly
System
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 Bigeye thresher, one of the stronger structural bridges in this analysis connects Bigeye thresher with Biology and ecology. 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
Bigeye thresher — Biology and ecology· splits 94 ⟂ 40Bigeye thresher — Distribution and habitat· splits 102 ⟂ 32Bigeye thresher — Overview· splits 113 ⟂ 21Bigeye thresher — Human interactions· splits 116 ⟂ 18Bigeye thresher — Taxonomy and phylogeny· splits 119 ⟂ 15Bigeye thresher — Description· splits 127 ⟂ 7
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Bigeye thresher
Nodes134
Edges133
Triples114
Avg. degree1.99
Density0.014925
Components1
Source & methodology
TTTA analyzes the structure around Bigeye thresher to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Distribution and habitat, Biology and ecology & Human interactions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
