Narumi Katayama Index Calculator

degree product invariant

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About Narumi Katayama Index Calculator

A Narumi-Katayama index calculator computing NK(G) = Π d(v) — the product of all vertex degrees. Narumi-Katayama (1984). Multiplicative analogue of M₁. log(NK) = Σ log d(v). Relates to molecular complexity. NK = 0 iff G has isolated vertex. Client-side.

Narumi Katayama Index Calculator Features

  • NK(G)
  • Π d(v)
  • Multiplicative
  • log NK
  • Common graphs
Narumi-Katayama NK(G) = Π d(v): product of all vertex degrees. Narumi-Katayama (1984). Multiplicative analogue of first Zagreb (M₁ = Σ d²). log(NK) = Σ log d. NK captures multiplicative branching complexity.

How to Use

Select graph:

  • NK: Degree product
  • Π d: Per vertex
  • log: Additive form

Properties

NK(K_n) = (n-1)ⁿ. NK(star) = (n-1)·1^(n-1) = n-1. NK(cycle) = 2ⁿ. NK = 0 iff any isolated vertex. Among trees: star minimizes, path maximizes NK.

Multiplicative Indices

NK started the 'multiplicative indices' family: Π₁ = Π d², Π₂ = Π(dᵢdⱼ). Products are more sensitive to extreme values. One zero degree kills the entire product!

Step-by-Step Instructions

  1. 1Select graph.
  2. 2Multiply all d(v).
  3. 3Take log.
  4. 4Compare bounds.
  5. 5Apply to molecules.

Narumi Katayama Index Calculator — Frequently Asked Questions

Why product instead of sum?+

Products capture multiplicative interactions. One low-degree vertex dramatically reduces NK (bottleneck effect). Sums are more 'forgiving'. NK measures the 'weakest link' aspect of connectivity.

What does log(NK) give?+

log(NK) = Σ log d(v), which is an additive index. This connects to information-theoretic measures: log d(v) is the 'information content' of vertex degree. Total: complexity measure.

NK for trees?+

Star: NK = n-1 (minimum among trees). Path P_n: NK = 2^(n-2) (maximum among trees for large n). Star has one high-degree vertex but many degree-1, pulling NK down.

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