How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 16 [Sheila Ferguson] *
144 [The Three Degrees] *
676 [The Anti Heroin Project] *
1 [The Kittens (8)] *
4 [Edwin Starr] *
1 [Willie Hatcher] *
36 [Paul Hardcastle] *
9 [Dance Aid] *
1 [Direct Drive (3)] *
1 [First Light (3)] *
4 [Kiss The Sky] *
1 [LFO (2)] *
4 [Tony Blackburn] *
1 [Scousers & Friends] *
4 [Jean Carne] *
9 [Mel Appleby] *
16 [Jaki Graham] *
4 [Mel and Kim] *
1 [Mel & Kim] *
400 [Ferry Aid]
)
= 1.46 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sheila Ferguson] *
1 [The Three Degrees] *
1 [The Anti Heroin Project] *
1 [The Kittens (8)] *
1 [Edwin Starr] *
1 [Willie Hatcher] *
1 [Paul Hardcastle] *
1 [Dance Aid] *
1 [Direct Drive (3)] *
1 [First Light (3)] *
1 [Kiss The Sky] *
1 [LFO (2)] *
1 [Tony Blackburn] *
1 [Scousers & Friends] *
1 [Jean Carne] *
1 [Mel Appleby] *
1 [Jaki Graham] *
1 [Mel and Kim] *
1 [Mel & Kim] *
1 [Ferry Aid]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
20
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.55%
(1.46 × 1018 overall)
Dominant nodes (excluded from chart)The Anti Heroin Project 48.91%Ferry Aid 28.94%The Three Degrees 10.42%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)