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Bob Frankston: Works, Career, Companies & Art

Robert M. Frankston (born June 14, 1949) is an American software engineer and businessman who co-created, with Dan Bricklin, the company Software Arts and the spreadsheet program VisiCalc, the latter being vended by VisiCorp.

Language: English [EN]
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Bob Frankston topic overview

The analysis highlights Works, Career, Companies and Art as prominent areas in the source structure around Bob Frankston.

Related topics
13
Source areas
4
Connected nodes
17
Extracted relationships
8
Concept neighborhoods
13
Bridge connections
17

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.

Awards and recognition · 4 topics
Career · 3 topics
Early life and education · 3 topics
Overview · 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.

Known for
Co-creator of VisiCalc
Alma mater
Massachusetts Institute of Technology (SB, MEng)
Born
(1949-06-14) June 14, 1949 (age 77) Brooklyn, New York, U.S.

Explore all related topics Closing gaps

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.

Overview

Early life and education

Career

Awards and recognition

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Bob Frankston connects Entity context

The extracted context around Bob Frankston shows recurring relationship patterns in the source. For example, Bob Frankston → Bob Frankston's, Smart ComputingBob Frankston, Triangulation, TV, TWiT Another extracted example is Bob Frankston → Massachusetts Institute of Technology (SB, MEng). Use these groups to spot repeated connection types before inspecting the individual relationships.

Bob Frankston

Top relations

related to External links · 5
Bob Frankston → Bob Frankston's, Smart ComputingBob Frankston, Triangulation, TV, TWiT
Alma mater · 1
Bob Frankston → Massachusetts Institute of Technology (SB, MEng)
Born · 1
Bob Frankston → (1949-06-14) June 14, 1949 (age 77) Brooklyn, New York, U.S.
Known for · 1
Bob Frankston → Co-creator of VisiCalc

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

visicalc frankston new born award dan bricklin york mit computing software spreadsheet early career microsoft brooklyn massachusetts institute technology computer

Bob Frankston relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Bob Frankston. Examples in this analysis include Bob Frankston → Alma mater → Massachusetts Institute of Technology (SB, MEng) and Bob Frankston → Born → (1949-06-14) June 14, 1949 (age 77) Brooklyn, New York, U.S.. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Bob FrankstonAlma materMassachusetts Institute of Technology (SB, MEng)1.00infobox
Bob FrankstonBorn(1949-06-14) June 14, 1949 (age 77) Brooklyn, New York, U.S.1.00infobox
Bob FrankstonKnown forCo-creator of VisiCalc1.00infobox
Bob Frankstonrelated to External linksBob Frankston's0.60section
Bob Frankstonrelated to External linksSmart ComputingBob Frankston0.60section
Bob Frankstonrelated to External linksTV0.60section
Bob Frankstonrelated to External linksTriangulation0.60section
Bob Frankstonrelated to External linksTWiT0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Bob Frankston bring nearby vocabulary together. In this analysis, examples include Bricklin, Dan and Visicalc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Bob Frankston
    • Bricklin
    • Dan
    • Visicalc
    • American
    • Arts
    • Brooklyn
    • Businessman
    • Co-created
    • Company
    • Engineer
    • June
    • Latter
  • bob frankston
    • Bricklin
    • Dan
    • Visicalc
    • American
    • Arts
    • Brooklyn
    • Businessman
    • Co-created
    • Company
    • Engineer
    • June
    • Latter
  • software arts
    • Businessman
    • Co-created
    • Company
    • Engineer
    • June
    • Latter
    • Program
    • Vended
    • Born
    • Software
    • Spreadsheet
    • Association
  • dan bricklin
    • Bricklin
    • Dan
    • Arts
    • Businessman
    • Co-created
    • Company
    • Engineer
    • Frankston
    • June
    • Latter
    • Program
    • Vended
  • brooklyn, new york
    • New
    • York
    • Brooklyn
    • Career
    • Early
    • Institute
    • Massachusetts
    • Technology
    • Visicalc
    • Born
    • Association
    • Fellow
  • career
    • Early
    • Brooklyn
    • Frankston's
    • Institute
    • Massachusetts
    • Microsoft
    • Technology
    • Work
    • York
    • New
    • Visicalc
    • Frankston
  • early life and education
    • Frankston's
    • Institute
    • Massachusetts
    • Microsoft
    • Technology
    • Work
    • York
    • New
    • Visicalc
    • Frankston
  • massachusetts institute of technology
    • Institute
    • Massachusetts
    • Technology
    • Computer
    • York
    • Mit
    • New
    • Visicalc

Connections between topic areas Semantic bridges

For Bob Frankston, one of the stronger structural bridges in this analysis connects Bob Frankston with Awards and recognition. 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
Bob FrankstonAwards and recognition · splits 13 ⟂ 5
Bob FrankstonOverview · splits 14 ⟂ 4
Bob FrankstonEarly life and education · splits 14 ⟂ 4
Bob FrankstonCareer · splits 14 ⟂ 4

Map overview Semantic statistics

Bob Frankston

Nodes18
Edges17
Triples8
Avg. degree1.89
Density0.111111
Components1

Source & methodology

TTTA analyzes the structure around Bob Frankston to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career, 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 — Bob Frankston · EN edition · Analysis: TopicsToTalkAbout

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