Reduced Reciprocal Randic Calculator

backbone connectivity measure

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About Reduced Reciprocal Randic Calculator

A reduced reciprocal Randić calculator computing RRR(G) = Σ √((dᵢ-1)(dⱼ-1)). Uses reduced degrees (d-1). RRR = 0 if any pendant edge. Measures backbone strength. Complements standard Randić. Li-Gutman (2006). Client-side.

Reduced Reciprocal Randic Calculator Features

  • RRR(G)
  • √((d-1)(d-1))
  • Backbone
  • Li-Gutman '06
  • Common graphs
Reduced reciprocal Randić RRR(G) = Σ √((dᵢ-1)(dⱼ-1)). Product of reduced degrees under square root. RRR = 0 if any edge has a pendant vertex. Only backbone (internal) edges contribute. Li-Gutman (2006).

How to Use

Select graph:

  • RRR: Reduced Randić
  • d-1: Reduced
  • =0?: Has pendants

Backbone Focus

Any edge with a degree-1 endpoint: (d-1) = 0 → product = 0 → contribution = 0. Only edges between internal vertices (d≥2) contribute. RRR is a pure backbone measure.

Properties

RRR = 0 for trees (every tree has pendant edges touching leaves). RRR > 0 only for graphs where minimum degree δ ≥ 2. For d-regular: RRR = m·(d-1).

Step-by-Step Instructions

  1. 1Select graph.
  2. 2Compute d-1 for all v.
  3. 3For each edge: √((d₁-1)(d₂-1)).
  4. 4Sum contributions.
  5. 5Assess backbone.

Reduced Reciprocal Randic Calculator — Frequently Asked Questions

RRR = 0 for all trees?+

Yes! Every tree has at least 2 pendant vertices. Every pendant edge has (d-1)=0 at the leaf. But more importantly: for acyclic (tree) graphs, the product captures zero contributions from leaves.

Connection to Randić?+

Randić: Σ 1/√(dᵢdⱼ). RRR: Σ √((dᵢ-1)(dⱼ-1)). RRR is 'inverse' (no 1/) and uses reduced degrees. Different purposes: Randić is universal, RRR focuses on backbone.

When to use RRR?+

When you want to characterize the internal structure ignoring pendants. Polymer backbones, aromatic ring systems, protein secondary structure — anywhere endpoints are irrelevant.

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