Bean (software)

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Bean (software) topic overview

The analysis highlights Features and Overview as prominent areas in the source structure around Bean (software).

Related topics: 18
Source areas: 2
Connected nodes: 20
Extracted relationships: 8
Related term clusters: 16
Bridge connections: 20

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.

Features · 11 topics

Overview · 7 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.

Developer: James Hoover
License: Freeware
Operating system: Mac OS X
Release: 1 May 2007; 19 years ago (2007-05-01)
Stable release: v3.73 / August 30, 2025; 11 months ago (2025-08-30)
Type: Word processor

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Bean (software)

7Word processor · Free and open source software · Closed source

11LibreOffice Writer · OpenOffice.org Writer · User interface

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

Features

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Bean (software) connects Entity context

The extracted context around Bean (software) shows recurring relationship patterns in the source. For example, Bean (software) → James Hoover Another extracted example is Bean (software) → Freeware. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Developer · 1

Bean (software) → James Hoover

License · 1

Bean (software) → Freeware

Operating system · 1

Bean (software) → Mac OS X

Release · 1

Bean (software) → 1 May 2007; 19 years ago (2007-05-01)

Stable release · 1

Bean (software) → v3.73 / August 30, 2025; 11 months ago (2025-08-30)

Type · 1

Bean (software) → Word processor

Website · 1

Bean (software) → bean-osx.com

Written in · 1

Bean (software) → Objective-C

Important terminology

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

Important terminology

bean word hoover os processor mac version free also cocoa james website text microsoft many versions features release bean-osx com

Bean (software) relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Bean (software). Examples in this analysis include Bean (software) → Developer → James Hoover and Bean (software) → License → Freeware. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Bean (software)	Developer	James Hoover	1.00	infobox
Bean (software)	License	Freeware	1.00	infobox
Bean (software)	Operating system	Mac OS X	1.00	infobox
Bean (software)	Release	1 May 2007; 19 years ago (2007-05-01)	1.00	infobox
Bean (software)	Stable release	v3.73 / August 30, 2025; 11 months ago (2025-08-30)	1.00	infobox
Bean (software)	Type	Word processor	1.00	infobox
Bean (software)	Website	bean-osx.com	1.00	infobox
Bean (software)	Written in	Objective-C	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around Bean (software) bring nearby vocabulary together. In this analysis, examples include Hoover, Apple's and Graphics. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Bean (software)
- Hoover
- Apple's
- Graphics
- Office
- Word
- Free
- James
- Microsoft
- Processor
- Website
- Mac
- Text
bean (software)
- Source
- Hoover
- Apple's
- File
- Formats
- Graphics
- Office
- Page
- Word
- Compatible
- James
- Microsoft
word processor
- Lean
- James
- Microsoft
- Processor
- Word
- Mac
- Os
- Hoover
- Bean
- File
- Formats
- Like
microsoft word
- James
- Microsoft
- Processor
- Word
- Mac
- Hoover
- Bean
- File
- Formats
- Lean
- Like
- Website
mac os x
- Os
- File
- Formats
- Word
- James
- Processor
- Website
- Hoover
- Apple's
- Bean-osx
- Cocoa
- Com
microsoft word 2003 xml
- James
- Microsoft
- Processor
- Word
- Mac
- Hoover
- Bean
- File
- Formats
- Lean
- Like
- Website
features
- Following
- Text
- Etc
- File
- Floating
- Formats
- Graphics
- Lean
- Mode
- Option
- Page
- Release
file formats
- Formats
- James
- Website
- Mac
- Hoover
- Apple's
- Graphics
- Lean
- Office
- Open
- Page
- Release

Connections between topic areas Semantic bridges

For Bean (software), one of the stronger structural bridges in this analysis connects Bean (software) with Features. 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

Bean (software) — Features · splits 9 ⟂ 12

Bean (software) — Overview · splits 13 ⟂ 8

Map overview Semantic statistics

Bean (software)

Nodes21

Edges20

Triples8

Avg. degree1.9

Density0.095238

Components1

Source & methodology

TTTA analyzes the structure around Bean (software) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Features & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Bean (software) · EN edition · Analysis: TopicsToTalkAbout

Bean (software): Features & Overview

Bean (software) topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Features

For the semantics nerds

Advanced semantic analysis

How Bean (software) connects Entity context

Bean (software)

Top relations

Important terminology

Important terminology

Bean (software) relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Bean (software)

Source & methodology