Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Skip list: History & Science

In computer science, a skip list (or skiplist) is a probabilistic data structure that allows O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)} average complexity for search as well as O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)} average complexity for insertion within an ordered sequence of n {\displaystyle n} elements. Thus it can get the…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Skip list topic overview

The analysis highlights History and Science as prominent areas in the source structure around Skip list.

Related topics
29
Source areas
4
Connected nodes
33
Extracted relationships
57
Concept neighborhoods
8
Bridge connections
33

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.

Usages · 16 topics
Overview · 7 topics
Description · 5 topics
History · 1 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.

Delete
O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}
Insert
O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}
Invented
1989
Invented by
W. Pugh
Operation
Average
Search
O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}

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

Description

History

Usages

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 Skip list connects Entity context

The extracted context around Skip list shows recurring relationship patterns in the source. For example, Skip list → ANSI-C, Apache Portable Runtime, ConcurrentSkipListMap, ConcurrentSkipListSet, CPU, Cyrus IMAP, DB, Discord, DOORS, DOORS/DXL, Java, Language, Linux, List, MemSQL, Memtable, MuQSS, Posix, QMap, Qt Another extracted example is Skip list → Algorithms, Chapter, Data StructuresSkip Lists, Dictionary, Introduction, MIT OpenCourseWare, Open Data Structures, Pat MorinSkip, Skip, Skiplists. Use these groups to spot repeated connection types before inspecting the individual relationships.

Skip list

Top relations

related to Usages · 23
Skip list → ANSI-C, Apache Portable Runtime, ConcurrentSkipListMap, ConcurrentSkipListSet, CPU, Cyrus IMAP, DB, Discord, DOORS, DOORS/DXL, Java, Language, Linux, List, MemSQL, Memtable, MuQSS, Posix, QMap, Qt
related to External links · 10
Skip list → Algorithms, Chapter, Data StructuresSkip Lists, Dictionary, Introduction, MIT OpenCourseWare, Open Data Structures, Pat MorinSkip, Skip, Skiplists
related to Description · 7
Skip list → By, Each, For, If, On, The, Therefore
related to history · 3
Skip list → Skip, To, William Pugh
related to Indexable skiplist · 3
Skip list → As, For, The
related to Implementation details · 2
Skip list → Insertions, The
Delete · 1
Skip list → O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}
Insert · 1
Skip list → O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}
Invented · 1
Skip list → 1989
Invented by · 1
Skip list → W. Pugh

Important terminology

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

Important terminology

skip list lists displaystyle search level elements width structure one linked log mathcal link element possible data implementation also node

Skip list relationships Subject–Predicate–Object triples

TTTA extracted 57 structured relationships around Skip list. Examples in this analysis include Skip list → Delete → O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)} and Skip list → Invented → 1989. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Skip listDeleteO ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}1.00infobox
Skip listInsertO ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}1.00infobox
Skip listInvented19891.00infobox
Skip listInvented byW. Pugh1.00infobox
Skip listOperationAverage1.00infobox
Skip listSearchO ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)}1.00infobox
Skip listSpaceO ( n ) {\displaystyle {\mathcal {O}}(n)}1.00infobox
Skip listTime complexity in big O notationTime complexity in big O notationOperation Average Worst caseSearch O ( log ⁡ n ) {\displaystyle {\mathcal {O}}(\log n)} O ( n ) {\displaystyle {\mathcal {O}}(n)} Insert O ( log…1.00infobox
Skip listTypeList1.00infobox
Skip listrelated to DescriptionThe0.60section
Skip listrelated to DescriptionEach0.60section
Skip listrelated to DescriptionOn0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Skip list bring nearby vocabulary together. In this analysis, examples include Lists, Skip and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Skip list
    • Lists
    • Skip
    • Data
    • Uses
    • Structure
    • Displaystyle
    • Time
    • Value
    • Implementation
    • Log
    • Element
    • Linked
  • skip list
    • Lists
    • Skip
    • Displaystyle
    • Data
    • Uses
    • Structure
    • Log
    • Search
    • Time
    • Value
    • Implementation
    • Element
  • linked list
    • Skip
    • Next
    • Displaystyle
    • Searching
    • Subsequence
    • Current
    • Lists
    • Log
    • Search
    • Target
    • Possible
    • Data
  • data structure
    • Structure
    • Probabilistic
    • Skiplist
    • Skip
    • Implementation
    • Lists
    • List
    • Allows
    • Insertion
    • Sequence
    • Search
    • Average
  • average complexity
    • Displaystyle
    • Time
    • Log
    • Mathcal
    • Search
    • Insertion
    • Probabilistic
    • Sequence
    • Skiplist
    • Skip
    • Pugh
    • List
  • probabilistic
    • Data
    • Structure
    • Allows
    • Insertion
    • Sequence
    • Skiplist
    • Average
    • Search
    • Implementation
    • Elements
    • Log
    • Mathcal
  • ordered sequence
    • Elements
    • Searching
    • Skiplist
    • Subsequence
    • Two
    • Next
    • Value
    • Link
    • Linked
    • Structure
    • Skip
  • william pugh
    • Time
    • Skip
    • Lists
    • Search

Connections between topic areas Semantic bridges

For Skip list, one of the stronger structural bridges in this analysis connects Skip list with Usages. 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
Skip list — Usages · splits 17 ⟂ 17
Skip list — Overview · splits 26 ⟂ 8
Skip list — Description · splits 28 ⟂ 6

Map overview Semantic statistics

Skip list

Nodes34
Edges33
Triples57
Avg. degree1.94
Density0.058824
Components1

Source & methodology

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

Source: Wikipedia — Skip list · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.