Network Profile
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 ($in) = max(1, 3) =
3
Inbound ($out) = max(1, 3) =
3
// 2. Node Base Values
Base Strength (PV) = $in × $out = 3 × 3 =
9
Base Influence (IV) = $in ÷ $out = 3 ÷ 3 =
1
// 3. Network Exponential Values (accumulating 11 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
13.7B
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
0.75
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
11
Strength Share (vs Direct Neighbours)
- This Post (4.74%)
- Trish Murphy (8.42%)
- John Loftus (6.32%)
- SUSAN O NEILL (SON) (2.11%)
- Tom Stapleton (2.11%)
- Mark Graham (2.11%)
- Kevin O'Shanahan (2.11%)
- Hazel Downes (2.11%)
- Colin Hoye (2.11%)
- Alan Aylward (2.11%)
- Texas Attorney General election, 1978 (2.11%)
Dominant nodes (excluded from chart)KING KONG COMPANY 63.68%
Influence Share (vs Direct Neighbours)
- This Post (8.51%)
- SUSAN O NEILL (SON) (8.51%)
- KING KONG COMPANY (8.51%)
- Tom Stapleton (8.51%)
- Trish Murphy (8.51%)
- Mark Graham (8.51%)
- Kevin O'Shanahan (8.51%)
- Hazel Downes (8.51%)
- Colin Hoye (8.51%)
- Alan Aylward (8.51%)
- Texas Attorney General election, 1978 (8.51%)
- John Loftus (6.38%)
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 4, 7:53 PM
Analyzing Network Connections...
👁️ 50 Views
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