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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Wishbone Ash] *
36 [Bob Skeat] *
25 [Ray Weston] *
169 [John Wetton] *
64 [robbie france] *
49 [Andy Pyle] *
4 [Andy Powell] *
25 [Mervyn Spence] *
1 [Ben Granfelt] *
1 [Bob Skeat (2)] *
1 [Claire Hamill] *
16 [Jamie Crompton] *
4 [Joe Crabtree] *
1 [Jyrki Manninen] *
16 [Laurie Wisefield] *
1 [Mark Birch] *
1 [Martin Turner (2)] *
1 [Michael Sturgis] *
1 [Roger Filgate] *
4 [Steve Upton]
)
= 7.81 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Wishbone Ash] *
1 [Bob Skeat] *
1 [Ray Weston] *
1 [John Wetton] *
1 [robbie france] *
1 [Andy Pyle] *
1 [Andy Powell] *
1 [Mervyn Spence] *
1 [Ben Granfelt] *
1 [Bob Skeat (2)] *
1 [Claire Hamill] *
1 [Jamie Crompton] *
1 [Joe Crabtree] *
1 [Jyrki Manninen] *
1 [Laurie Wisefield] *
1 [Mark Birch] *
1 [Martin Turner (2)] *
1 [Michael Sturgis] *
1 [Roger Filgate] *
1 [Steve Upton]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(7.81 × 1016 overall)
Dominant nodes (excluded from chart)Wishbone Ash 48.72%John Wetton 20.58%robbie france 7.80%Andy Pyle 5.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)