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J. Conroy
No 4 Army Band
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Network Profile
Overall Strength
1.27%
of network
(274.88B)
Direct Connections
4
Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 2) =
2
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 2 =
4
Base Influence (IV) = $in ÷ $out = 2 ÷ 2 =
1
// 3. Network Exponential Values (accumulating 15 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
274.88B
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
15
Strength Share (vs Direct Neighbours)
- This Post (1.27%)
- A.Tighe (1.27%)
- C.Conroy (1.27%)
- E. Phillips (1.27%)
- F.Maloney (1.27%)
- J.Rogers (1.27%)
- L. Fennelly (1.27%)
- L.Keegan (1.27%)
- N.Burke (1.27%)
- P.Johnson (1.27%)
- T.Hughes (1.27%)
- T.Smith (1.27%)
- T.Stewart (1.27%)
- W.Farrell (1.27%)
- T.O'Connor (1.27%)
Dominant nodes (excluded from chart)No 4 Army Band 81.01%
Influence Share (vs Direct Neighbours)
- This Post (6.25%)
- No 4 Army Band (6.25%)
- A.Tighe (6.25%)
- C.Conroy (6.25%)
- E. Phillips (6.25%)
- F.Maloney (6.25%)
- J.Rogers (6.25%)
- L. Fennelly (6.25%)
- L.Keegan (6.25%)
- N.Burke (6.25%)
- P.Johnson (6.25%)
- T.Hughes (6.25%)
- T.Smith (6.25%)
- T.Stewart (6.25%)
- W.Farrell (6.25%)
- T.O'Connor (6.25%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: May 5, 6:01 AM
Analyzing Network Connections...
👁️ 16 Views
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