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degree concept

DefinitionOf a node in a graph, the number of edges it has. Chapter 0 section 0.10.
ExampleA node with edges to three others has degree 3, and the degrees of a graph sum to twice its edge count.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id degree, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equation

Book equation 0.19.

Assumptions and scope
  • The number of edges a node has. Summed over the graph the degrees count every edge twice, the sum is even, and no node has degree more than the number of other nodes.
  • The radius of a spectral embedding tracks the degree at correlation 0.92 to 0.99 on the substrates tested, which is the measured half of chapter 3’s claim that the magnitude is degree noise and the angle is what the geodesic-rank reader reads.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/Degree.lean
Reviewednot yet reviewed; generated 2026-09-10 from records at the commits on the provenance page.
The number of edges at a node.

Equation

Book equation 0.19.

\[L=I-D^{-1/2}AD^{-1/2},\qquad D=\operatorname{diag}(d_1,\dots,d_n),\qquad L\,u_k=\lambda_k u_k,\ \ 0=\lambda_1\le\lambda_2\le\cdots.\]

Book equation 3.3.

\[X_i=r_i\,\theta_i,\qquad r_i\ \to\ \frac1{\sqrt{d_i}},\qquad \theta_i=\frac{X_i}{\|X_i\|}\in S^{m-1}.\]

Conditions

Conditions are curated in entries.toml rather than read from a record.

Ledger

none

First stated

Chapter 0 section 0.10 and chapter 3 section 3.3 of Data Mining as Observation, with the radius-against-degree measurement in the-angular-observer, the-angular-observer/README.md:135-139.

Measurements

Where the book states it Numbers, as the book’s sources table records them Source
chapter 3 section 3.3 radius against degree correlation 0.92 to 0.99 the-angular-observer/README.md:135-139

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/Degree.lean, theorems sum_degrees, degree_lt_card, sum_degrees_even, average_degree, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation primer L, chapters 0, 1, 3, 4, 8, 9.

Related

Laplacian; geodesic distance; hubness; recognizer.

See also

Ledger rows that cite the entry’s records without naming it: NEG-1.

Sources-table rows that share a record with the entry without naming it: chapter 3 section 3.2, chapter 3 section 3.3, chapter 9 section 9.1, chapter 9 section 9.2, chapter 11 section 11.1.

Status

Generated 2026-09-10 by encyclopedia/generate.py; book at observation-data-mining f3914f0; the commit of every record is listed in the encyclopedia’s provenance.

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