VE Degree Index Calculator

vertex-edge degree measure

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About VE Degree Index Calculator

A vertex-edge degree calculator computing ve(v) = Σ_{u∈N(v)} d(u) - d(v) + 1 for general graphs, or equivalently the number of edges incident to N[v]. Chellali-Haynes-Hedetniemi-Lewis (2017). Foundation for ve-degree Zagreb indices. Client-side.

VE Degree Index Calculator Features

  • ve(v)
  • Edge count N[v]
  • ve-Zagreb
  • Chellali '17
  • Common graphs
VE-degree ve(v) counts edges in the closed neighborhood N[v]. For simple graphs: ve(v) = ½Σ_{u∈N[v]} d(u). Chellali et al. (2017). Related to but distinct from standard degree. ve-degree Zagreb indices use ve(v) in place of d(v).

How to Use

Select graph:

  • ve(v): Per vertex
  • ve vs d: Compare
  • ve-M₁: Zagreb

VE-Degree

ve(v) = number of edges incident to at least one vertex in N[v] (closed neighborhood). Counts edges 'visible' from v. Always ve(v) ≥ d(v). For K_n: ve(v) = n(n-1)/2.

VE-Zagreb

ve-M₁ = Σ ve(v)². ve-M₂ = Σ_{edges} ve(u)·ve(v). Natural extensions of classical Zagreb using the richer ve-degree measure.

Step-by-Step Instructions

  1. 1Select graph.
  2. 2For each v: count edges in N[v].
  3. 3Get ve(v) per vertex.
  4. 4Compute ve-Zagreb.
  5. 5Compare with d(v).

VE Degree Index Calculator — Frequently Asked Questions

ve(v) vs d(v)?+

d(v) counts edges AT v. ve(v) counts edges in the NEIGHBORHOOD of v. d(v) is local. ve(v) includes edges between neighbors — a richer structural measure.

When ve(v) = d(v)?+

Only when no two neighbors are adjacent — i.e., N(v) is an independent set. If v's neighbors form edges among themselves, ve(v) > d(v).

Why ve-degree?+

VE-degree captures 'local density': how many edges are visible from v. High ve(v) means v sits in a dense cluster. Better than degree for community detection.

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