Balaban Index Calculator

distance-sum connectivity

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About Balaban Index Calculator

A Balaban index calculator computing J(G) = m/(μ+1) · Σ_{(i,j)∈E} 1/√(sᵢ·sⱼ) where sᵢ = distance sum from vertex i and μ = cyclomatic number. Balaban (1982). Topological index with excellent discrimination power. Rarely degenerate. Client-side.

Balaban Index Calculator Features

  • J(G)
  • m/(μ+1)
  • Distance sums
  • Low degeneracy
  • Common graphs
Balaban J index: J = m/(μ+1) · Σ_{edges} 1/√(sᵢsⱼ) where sᵢ = row sum of distance matrix, μ = m-n+1 (cyclomatic number). Balaban (1982). Exceptional discrimination: rarely maps non-isomorphic graphs to same value. Better than most topological indices.

How to Use

Select graph:

  • J: Balaban index
  • sᵢ: Distance sums
  • μ: Cyclomatic #

Discrimination Power

Among topological indices, J has the highest discrimination power: fewest pairs of non-isomorphic graphs with same J value. For trees up to 20 vertices: zero degeneracy! Approaches complete graph invariant quality.

Formula Details

sᵢ = Σⱼ d(i,j): distance sum. μ = m-n+1: cyclomatic (circuit) number. The factor m/(μ+1) normalizes for graph size and cyclicity. For trees: μ=0, so J = m·Σ 1/√(sᵢsⱼ).

Step-by-Step Instructions

  1. 1Select graph.
  2. 2Compute distance matrix.
  3. 3Find distance sums sᵢ.
  4. 4Compute J.
  5. 5Compare discrimination.

Balaban Index Calculator — Frequently Asked Questions

Why is J so discriminating?+

J combines distance information (global topology) with edge-local weighting (1/√(sᵢsⱼ)). It captures both global structure and local connectivity. Most other indices capture only one aspect, making them more degenerate.

What is the cyclomatic number μ?+

μ = m - n + 1 for connected graphs. Number of independent cycles. Trees: μ=0. Each extra edge adds one cycle. The normalization m/(μ+1) adjusts for the graph's 'cyclic complexity'.

How does J compare to Randić?+

Randić: uses only vertex degrees (local). Balaban J: uses distance sums (global). J is more discriminating but harder to compute. Randić is simpler but more degenerate. Both excel in QSAR applications.

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