Neighborhood Degree Sum Calculator

neighbor degree aggregate

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About Neighborhood Degree Sum Calculator

A neighborhood degree sum calculator computing S(v) = Σ_{u∈N(v)} d(u) for each vertex v. Fundamental quantity in topological index theory. S(v) appears in ABC, GA, augmented Zagreb, neighborhood indices. ΣS(v) = 2M₁ - F (or = M₁ via handshaking). Client-side.

Neighborhood Degree Sum Calculator Features

  • S(v)
  • Σd(neighbors)
  • Hub detect
  • M₁ link
  • Common graphs
Neighborhood degree sum S(v) = Σ d(u) for u ∈ N(v). How much total degree surrounds vertex v. Fundamental building block: many indices use S(v). Hub vertices surrounded by hubs have highest S(v). Identifies structurally critical vertices.

How to Use

Select graph:

  • S(v): Per vertex
  • Max S: Hub center
  • ΣS: Graph total

Hub Detection

High S(v): v is surrounded by high-degree vertices. Maximum S identifies the 'center of connectivity'. For star: hub has S = n-1 (sum of leaf degrees=1 each), leaves have S = degree of hub.

Index Building Block

Many indices use S(v): neighborhood Zagreb = Σ S(v)². Neighborhood Randić = Σ 1/√(S(u)·S(v)) over edges. S(v) is the fundamental 'second-order' degree measure.

Step-by-Step Instructions

  1. 1Select graph.
  2. 2For each vertex: sum neighbor degrees.
  3. 3Identify max/min S(v).
  4. 4Compute graph-wide ΣS.
  5. 5Find hub centers.

Neighborhood Degree Sum Calculator — Frequently Asked Questions

S(v) vs d(v)?+

d(v) counts neighbors. S(v) sums their degrees. A vertex with 3 degree-10 neighbors: d=3, S=30. S captures the 'quality' of neighbors, not just quantity. Second-order connectivity.

ΣS(v) = ?+

ΣS(v) = Σᵥ Σ_{u∈N(v)} d(u) = Σ_{edges (u,v)} [d(u)+d(v)] = M₁ (first Zagreb). The sum of all neighborhood degree sums equals M₁! Elegant connection.

Max S(v) vertex?+

The vertex surrounded by highest-degree neighbors. Not necessarily the highest-degree vertex itself! A moderate-degree vertex in a dense cluster can have higher S than a hub connected to leaves.

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