Data structure
In computer science, a data structure is a way to organize and store data that is usually chosen for efficient access to data.
At a glance
Key signals
0% cross fields · reaches 0 more
- Computer Science
- Data Structures
- Explanation
- Examples
- Misconception
- Sourced relations 7
- Attribution
Dependencies
What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.
System context
Array data structureis aData structureEstablished
array data structure is a kind of data structure.
Mechanism: An array is a data structure that stores items in a numbered row, so any element can be reached instantly by its index.
- Wikidata verifiedmoderate evidence
Graph data structureis aData structureEstablished
graph data structure is a kind of data structure.
Mechanism: A graph is a data structure of nodes joined by edges, able to model any network of relationships, from maps to social ties.
- Wikidata verifiedmoderate evidence
Hash tableis aData structureEstablished
hash table is a kind of data structure.
Mechanism: A hash table is a data structure that maps keys to values via a hash function, giving near-instant lookup by key.
- Wikipedia (English & German editions) verifiedmoderate evidence
Linked listis aData structureEstablished
linked list is a kind of data structure.
Mechanism: A linked list is a data structure whose items each point to the next, so it grows and shrinks easily without shifting the others.
- Wikipedia (English & German editions) verifiedmoderate evidence
Queueis aData structureEstablished
queue is a kind of data structure.
Mechanism: A queue is a first-in, first-out data structure: items leave in the order they arrived, like people waiting in line.
- Wikipedia (English & German editions) verifiedmoderate evidence
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Currently dark in the atlas: no key date stored · 7 of 7 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Structural neighbourhood: 7 → 14 → 17 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
All 7 of its relationships stay within its own discipline — a field-specific concept in the current atlas.
structural · Structural graph analysis — not a claim of importance, causation or history.
cross-field
7 within-field, 0 cross-field
Strengths & constraints
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
Seen through each discipline
How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.
Through this lens it connects to Graph data structure, Array data structure, Hash table and Stack.
Through this lens it connects to Graph data structure, Array data structure, Hash table and Stack.
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
- Connects 7 other ideas across 2 disciplines.
- A local hub: unusually many ideas converge here.
- Most of its connections are of the “Kind & structure” kind.
Derived from the graph’s real structure — observations, not a score.
Sources
- Wikipedia (English & German editions) verifiedmoderate evidence
- Wikidata verifiedmoderate evidence