EV Degree Index Calculator

edge-vertex neighborhood reach

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About EV Degree Index Calculator

An edge-vertex degree calculator computing ev(e) = |N[u] ∪ N[v]| for edge e=(u,v). Chellali-Haynes-Hedetniemi-Lewis (2017). Dual of ve-degree. ev(e) measures the 'reach' of an edge. Foundation for ev-degree Zagreb indices. Client-side.

EV Degree Index Calculator Features

  • ev(e)
  • N[u]∪N[v]
  • Edge reach
  • Chellali '17
  • Common graphs
EV-degree ev(e) = |N[u] ∪ N[v]| for edge e=(u,v). Counts vertices reachable within distance 1 from e. Dual of ve-degree. Chellali et al. (2017). ev(e) ≤ n always. ev(e) = n iff e is a dominating edge.

How to Use

Select graph:

  • ev(e): Per edge
  • Reach: Union size
  • vs d+d: Compare

EV-Degree

ev(e=(u,v)) = |N[u] ∪ N[v]|. By inclusion-exclusion: ev(e) = d(u)+d(v)-|N(u)∩N(v)| (common neighbors subtracted). ev(e) = d(u)+d(v) iff no common neighbors.

Applications

ev(e) measures edge 'influence radius'. High ev: the edge reaches many vertices. Critical for epidemic spreading models: edges with high ev spread infections fastest.

Step-by-Step Instructions

  1. 1Select graph.
  2. 2For each edge: N[u] ∪ N[v].
  3. 3Count union size.
  4. 4Compare across edges.
  5. 5Find dominating edges.

EV Degree Index Calculator — Frequently Asked Questions

ev(e) vs d(u)+d(v)?+

d(u)+d(v) double-counts common neighbors. ev(e) = d(u)+d(v)-|N(u)∩N(v)|. More accurate: ev(e) ≤ d(u)+d(v), with equality iff no triangles through e.

Maximum ev(e)?+

ev(e) = n iff N[u] ∪ N[v] = V: the edge dominates the entire graph. Such edges are structurally critical — removing them disconnects or severely disrupts the graph.

ev vs ve duality?+

ve: vertex-centric (edges in neighborhood). ev: edge-centric (vertices in neighborhood). Dual perspectives on the same local structure. Together they give a complete local picture.

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