Network
A set of nodes joined by links, so effects can spread from one to another.
At a glance
Key signals
69% cross fields · reaches 26 more
- Network Science
- Mathematics
- Sociology
- Explanation
- Examples
- Misconception
- Sourced relations 6
- 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.
Enables · leads to
Epidemic spreaddepends onNetworkStrongly supported
Epidemic spread depends on contact networks.
Mechanism: A disease travels along the links between people; how connected the network is decides how fast and how far it spreads.
System context
Food webis aNetworkEstablished
A food web is a network of feeding links.
Mechanism: A food web is a network: species are nodes and eating relationships are the links, forming a web of energy flow through an ecosystem.
- Biology 2e (OpenStax) (2018) verified
Scale-Free Networkis aNetworkEstablished
Scale-Free Network is a kind of network.
Supply chainis aNetworkEstablished
A supply chain is an economic network.
Mechanism: A supply chain is a network: suppliers, factories and shops are nodes linked by the flow of goods from raw material to customer.
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Removing this node severs the only sampled structural route between Archaeological record and Client-server model — a non-redundant bridge here.
structural · Structural removal simulation — not a historical or causal counterfactual.
69% of its relationships cross field boundaries, reaching 26 other disciplines — unusual in a discipline where most concepts stay within their field.
structural · Structural graph analysis — not a claim of importance, causation or history.
Currently dark in the atlas: no key date stored · 16 of 16 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Structural neighbourhood: 16 → 84 → 228 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
cross-field
5 within-field, 11 cross-field
Strengths & constraints
Strengths
- Cross-disciplinary connector — 69% of its relationships cross field boundaries. structural
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- Non-redundant bridge — removing it severs a sampled route between neighbouring clusters. structural
- 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
Dependency radial
What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.
What builds on this
1 concept build on this directly, 1 in total, across 3 disciplines.
Structural downstream reach along dependency edges — not a claim of historical necessity.
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 Epidemic spread and Scale-Free Network.
Through this lens it connects to Computational social science.
Through this lens it connects to Graph theory.
Through this lens it connects to Supply chain.
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
This idea also appears in…
The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”
Networks45 disciplines · 38 concepts
Concepts
shares a mental model · crosses a discipline boundary
shares a mental model
shares a mental model
shares a mental model
shares a mental model
- Client-server modelComputer Science
shares a mental model · crosses a discipline boundary
A network is anything made of parts (nodes) joined by connections (links): friends, roads, neurons, food webs. What can travel along the links — and how fast — depends on the shape of the network.
Mental models at work here
- Connects 16 other ideas across 7 disciplines.
- A cross-disciplinary bridge — its connections reach into 26 other fields.
- Most of its connections are of the “Teaching link” kind.
- It exercises 1 reusable thinking pattern.
Derived from the graph’s real structure — observations, not a score.
Sources
- Anthropology as a Network Science: verified
- Network Theory/Social Network Analysis (2013) verified