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SWIFT: Swiftová adresa – BIC, Overview & Síť
Společnost pro celosvětovou mezibankovní finanční telekomunikaci (anglicky Society for Worldwide Interbank Financial Telecommunication, SWIFT), oficiálně S.W.I.F.T. SCRL, je belgická nezávislá společnost sloužící jako zprostředkovatel a vykonavatel finančních transakcí v mezinárodním platebním styku.
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SWIFT topic overview
The analysis highlights Swiftová adresa – BIC, Overview and Síť as prominent areas in the source structure around SWIFT.
Related topics
54
Source areas
7
Connected nodes
61
Extracted relationships
114
Concept neighborhoods
13
Bridge connections
61
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 · 25 topics
Swiftová adresa – BIC · 11 topics
Síť · 8 topics
Vznik · 6 topics
Odkazy · 2 topics
Druhy zpráv · 1 topics
Účel · 1 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.
Adresa sídla
La Hulpe, 1310, Belgie
Datum založení
3. května 1973
LEI
HB7FFAZI0OMZ8PP8OE26
Oblast činnosti
telekomunikační průmysl
Obrat
1,1 mld. € (2024)
Ocenění
Cena velkého bratra (2006)
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 SWIFT 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 SWIFT shows recurring relationship patterns in the source. For example, SWIFT → Cash Letters, Cash Management, Cestovní, Cheques, Collections, Customer, Customer Transfers, Derivatives, Documentary Credits, Dokumentární, Drahé, Financial Institution Transfers, Foreign Exchange, Guarantees, Inkasa, Konverze, Mezibankovní, Money Markets, Operace, Precious Metals Another extracted example is SWIFT → Entry, GUI SAGSWIFTAlliance Messenger, Java, Lite, PC, Pro, SAA, SAASWIFTAlliance Gateway, SAB, SAE, SAG, SAGSWIFTAlliance Webstation, SAL, SAM, SAS, SAW, SNL, Starter Set, SWIFTAlliance Access, SWIFTAlliance Workstation. Use these groups to spot repeated connection types before inspecting the individual relationships.
SWIFT relationships Subject–Predicate–Object triples
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 SWIFT. Examples in this analysis include SWIFT → Adresa sídla → La Hulpe, 1310, Belgie and SWIFT → Datum založení → 3. května 1973. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
SWIFT
Adresa sídla
La Hulpe, 1310, Belgie
1.00
infobox
SWIFT
Datum založení
3. května 1973
1.00
infobox
SWIFT
LEI
HB7FFAZI0OMZ8PP8OE26
1.00
infobox
SWIFT
Oblast činnosti
telekomunikační průmysl
1.00
infobox
SWIFT
Obrat
1,1 mld. € (2024)
1.00
infobox
SWIFT
Ocenění
Cena velkého bratra (2006)
1.00
infobox
SWIFT
Oficiální web
www.swift.com
1.00
infobox
SWIFT
OpenCorporates ID
be/0413330856
1.00
infobox
SWIFT
Produkty
SWIFT message types
1.00
infobox
SWIFT
Právní forma
cooperative society
1.00
infobox
SWIFT
Souřadnice sídla
50°44′4″ s. š., 4°28′43″ v. d.
1.00
infobox
SWIFT
Zaměstnanci
3 240 (2023)
1.00
infobox
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 SWIFT bring nearby vocabulary together. In this analysis, examples include Systému, Roce and Bic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
SWIFT
Systému
Roce
Bic
Kódy
Zemí
Bankami
Sítě
Ze
Zpráv
Adresa
Business
Identifier
swift
Systému
Roce
Bic
Kódy
Zemí
Bankami
Sítě
Ze
Zpráv
Adresa
Business
Identifier
swiftová adresa – bic
Adresa
Business
Identifier
Swiftová
Bic
Např
Přenos
Síť
Zpracování
Zprávy
Iso
Kódy
bank
Zemí
Swift
Svých
Kódy
Bankami
Bic
Skupina
Roce
Systému
Zpráv
Adresa
Institucí
international bank account number
Zemí
Swift
Svých
Kódy
Bankami
Bic
Skupina
Roce
Systému
Zpráv
Adresa
Institucí
mezibankovní převody
Přenos
Společnost
Adresa
Business
Identifier
Institucemi
Swiftnet
Finanční
Např
Swiftová
Zpracování
Zprávy
bic directory
Business
Identifier
Adresa
Iso
Kódy
Swiftová
Jsou
Kódu
Swift
Zpráv
Mezibankovní
Swiftnet
finančních i nefinačních institucí
Zemí
Svých
Swiftnet
Institucí
Swift
Zprávy
Společnost
Sítě
Ze
Systému
Zpráv
Bank
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 SWIFT, one of the stronger structural bridges in this analysis connects SWIFT 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.
SWIFT
Nodes62
Edges61
Triples114
Avg. degree1.97
Density0.032258
Components1
Source & methodology
TTTA analyzes the structure around SWIFT to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Swiftová adresa – BIC, Overview & Síť, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SWIFT · CS edition · Analysis: TopicsToTalkAbout
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