Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Avnet, Inc. is a distributor of electronic components headquartered in Tempe, Arizona, named after Charles Avnet, who founded the company in 1921. After its start on Manhattan's Radio Row, the company was incorporated in 1955 and began trading on the New York Stock Exchange in 1961. On May 8, 2018, Avnet changed stock markets to Nasdaq, trading under the…
The analysis highlights History, Companies and Art as prominent areas in the source structure around Avnet.
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.
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.
The extracted context around Avnet shows recurring relationship patterns in the source. For example, Avnet → Anthony Hamilton, Avnet Electronic Marketing Group, Avnet's, Hamilton, Hamilton Electro Corporation, Hamilton/Avnet, In, Intel, Intel Corp, Lester Avnet, Sheib, Simon Sheib, The, Together Another extracted example is Avnet → Beatles, BIC, Blue Note, British Industries Corp, George Harrison, Guild Musical Instruments, Guild Starfire, In, John Lennon, Liberty Records, New York Stock Exchange, Over, With. 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.
company stock inc incorporated selling distributor electronic radio began arizona new york charles first became tempe trading billion 1921 parts
TTTA extracted 90 structured relationships around Avnet. Examples in this analysis include Avnet → Founded → 1921; 105 years ago (1921) New York City, New York, U.S. and Avnet → Founder → Charles Avnet. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Avnet | Founded | 1921; 105 years ago (1921) New York City, New York, U.S. | 1.00 | infobox |
| Avnet | Founder | Charles Avnet | 1.00 | infobox |
| Avnet | Headquarters | Tempe, Arizona, U.S. | 1.00 | infobox |
| Avnet | Industry | Electronics | 1.00 | infobox |
| Avnet | Key people | Phil Gallagher (CEO) | 1.00 | infobox |
| Avnet | Key people | Rodney Adkins (chairman) | 1.00 | infobox |
| Avnet | Key people | Ken Jacobson (CFO) | 1.00 | infobox |
| Avnet | Net income | US$1.18 billion (2023) | 1.00 | infobox |
| Avnet | Number of employees | c. 14,500 (2021) | 1.00 | infobox |
| Avnet | Operating income | US$1.35 billion (2023) | 1.00 | infobox |
| Avnet | Revenue | US$26.53 billion (2023) | 1.00 | infobox |
| Avnet | Total assets | US$12.47 billion (2023) | 1.00 | infobox |
| Avnet | Total equity | US$4.75 billion (2023) | 1.00 | infobox |
| Avnet | Traded as | Nasdaq: AVT | 1.00 | infobox |
| Avnet | Traded as | S&P 400 component | 1.00 | infobox |
| Avnet | Type | Public | 1.00 | infobox |
| Avnet | Website | www.avnet.com | 1.00 | infobox |
The concept neighborhoods around Avnet bring nearby vocabulary together. In this analysis, examples include Electronic, Inc and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Avnet, one of the stronger structural bridges in this analysis connects Avnet with History. 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 Avnet to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Avnet · EN edition · Analysis: TopicsToTalkAbout