Shredder (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:

Shredder (software) topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Shredder (software).

Related topics: 14
Source areas: 1
Connected nodes: 15
Extracted relationships: 6
Concept neighborhoods: 15
Bridge connections: 15

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 · 14 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.

License: Proprietary
Original author: Stefan Meyer-Kahlen
Release: 1993; 33 years ago (1993)
Stable release: 13 / November 22, 2016; 9 years ago (2016-11-22)
Type: Chess engine

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

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 Shredder (software) connects Entity context

The extracted context around Shredder (software) shows recurring relationship patterns in the source. For example, Shredder (software) → Proprietary Another extracted example is Shredder (software) → Stefan Meyer-Kahlen. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

License · 1

Shredder (software) → Proprietary

Original author · 1

Shredder (software) → Stefan Meyer-Kahlen

Release · 1

Shredder (software) → 1993; 33 years ago (1993)

Stable release · 1

Shredder (software) → 13 / November 22, 2016; 9 years ago (2016-11-22)

Type · 1

Shredder (software) → Chess engine

Website · 1

Shredder (software) → www.shredderchess.com

Important terminology

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

Important terminology

shredder version chess released engine also computer commercial graphical 2007 2010 october 12 13 available stefan meyer-kahlen 1993 interface won

Shredder (software) relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around Shredder (software). Examples in this analysis include Shredder (software) → License → Proprietary and Shredder (software) → Original author → Stefan Meyer-Kahlen. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Shredder (software)	License	Proprietary	1.00	infobox
Shredder (software)	Original author	Stefan Meyer-Kahlen	1.00	infobox
Shredder (software)	Release	1993; 33 years ago (1993)	1.00	infobox
Shredder (software)	Stable release	13 / November 22, 2016; 9 years ago (2016-11-22)	1.00	infobox
Shredder (software)	Type	Chess engine	1.00	infobox
Shredder (software)	Website	www.shredderchess.com	1.00	infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Shredder (software) bring nearby vocabulary together. In this analysis, examples include Also, Computer and Available. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Shredder (software)
- Also
- Computer
- Available
- Championship
- Com
- Interface
- Meyer-kahlen
- Stefan
- Tournaments
- Website
- Won
- World
shredder (software)
- Also
- Computer
- Available
- Championship
- Com
- Interface
- Meyer-kahlen
- Stefan
- Tournaments
- Website
- Won
- World
chess engine
- Shredder
- Com
- Computer
- Interface
- Meyer-kahlen
- Stefan
- Website
- Engine
- Championship
- Commercial
- Graphical
- World
world microcomputer chess championship
- Championship
- Speed
- World
- Computer
- Shredder
- Microcomputer
- Won
- Engine
- Chess
- Com
- Commercial
- Graphical
world computer chess championship
- Championship
- World
- Com
- Computer
- Shredder
- Website
- Microcomputer
- Speed
- Engine
- Chess
- Commercial
- Graphical
world computer speed chess championship
- Championship
- World
- Com
- Computer
- Shredder
- Website
- Microcomputer
- Speed
- Won
- Engine
- Chess
- Commercial
gnome chess
- Shredder
- Computer
- Engine
- Championship
- Com
- Commercial
- Graphical
- Interface
- Meyer-kahlen
- Stefan
- Website
- World
graphical user interface
- Developed
- Germany
- Gui
- Commercial
- Graphical
- Interface
- Meyer-kahlen
- Stefan
- User
- Championship
- Com
- Website

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Shredder (software) map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Shredder (software)

Nodes16

Edges15

Triples6

Avg. degree1.88

Density0.125

Components1

Source & methodology

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

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