Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Preference: Odkazy & Overview
Preference (z latinského prae-feró, dávám přednost, stavím do popředí) znamená česky přednost, kterou lidé dávají tomu, co preferují. Pojem se užívá všude tam, kde je možnost více méně svobodné volby nebo výběru. V psychologii, ekonomii a filozofii je preference technický termín obvykle používaný ve vztahu k volbě mezi alternativami. Například někdo dává…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Preference topic overview
The analysis highlights Odkazy and Overview as prominent areas in the source structure around Preference.
Related topics
10
Source areas
2
Connected nodes
12
Extracted relationships
50
Concept neighborhoods
9
Bridge connections
12
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 · 7 topics
Odkazy · 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.
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 Preference 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 Preference shows recurring relationship patterns in the source. For example, Preference → Abnormal, And, Brehm, Cambridge University Press, Cayeux, Coppin, De Martino, Delplanque, Dolan, How, I'm, Journal, Lichtenstein, Neuroscience, New York, Porcherot, Post-decision, Psychological Science, Sander, Sharot Another extracted example is Preference → Brehm, Bylo, Cayeux, Coppin, De Martino, Delplanque, Dolan, Lichtenstein, Porcherot, Sander, Scherer, Sharot, Slovic, Termín, To. Use these groups to spot repeated connection types before inspecting the individual relationships.
Preference
Top relations
related to Literatura· 25
Preference → Abnormal, And, Brehm, Cambridge University Press, Cayeux, Coppin, De Martino, Delplanque, Dolan, How, I'm, Journal, Lichtenstein, Neuroscience, New York, Porcherot, Post-decision, Psychological Science, Sander, Sharot
related to V psychologii· 15
Preference → Brehm, Bylo, Cayeux, Coppin, De Martino, Delplanque, Dolan, Lichtenstein, Porcherot, Sander, Scherer, Sharot, Slovic, Termín, To
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 50 structured relationships around Preference. Examples in this analysis include Preference → related to Externí odkazy → Slovníkové and Preference → related to Externí odkazy → Wikislovníku. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Preference
related to Externí odkazy
Slovníkové
0.60
section
Preference
related to Externí odkazy
Wikislovníku
0.60
section
Preference
related to Externí odkazy
Stanford Encyclopedia
0.60
section
Preference
related to Externí odkazy
Philosophy
0.60
section
Preference
related to Externí odkazy
Preferences'Customer
0.60
section
Preference
related to Externí odkazy
ICR/International Communications Research
0.60
section
Preference
related to Externí odkazy
Heslo
0.60
section
Preference
related to Externí odkazy
Sociologické
0.60
section
Preference
related to Literatura
Brehm
0.60
section
Preference
related to Literatura
Post-decision
0.60
section
Preference
related to Literatura
Journal
0.60
section
Preference
related to Literatura
Abnormal
0.60
section
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 Preference bring nearby vocabulary together. In this analysis, examples include Ekonomii, Obvykle and Volby. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Preference
Ekonomii
Obvykle
Volby
Jako
Jsou
Mohou
Procesu
Souboru
To
Psychologii
Of
Filozofii
preference
Ekonomii
Obvykle
Volby
Jako
Jsou
Mohou
Procesu
Souboru
To
Psychologii
Of
Filozofii
volby
Jako
Preference
Brehm
Cayeux
Coppin
De
Delplanque
Dolan
Jsou
Martino
Mohou
Pojem
ekonomii
Procesu
Souboru
Obvykle
Psychologii
Filozofii
Jsou
Lichtenstein
Slovic
Termín
Preference
psychologii
Obvykle
Lichtenstein
Procesu
Scherer
Slovic
Souboru
Termín
filozofii
Termín
Obvykle
Psychologii
Preference
preferenci veřejné hromadné dopravy
Toho
sexuální preferenci
Toho
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 Preference, one of the stronger structural bridges in this analysis connects Preference 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.
Preference
Nodes13
Edges12
Triples50
Avg. degree1.85
Density0.153846
Components1
Source & methodology
TTTA analyzes the structure around Preference to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
