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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 64 [Rod Clark] *
9 [Bryan Pugh] *
9 [White Plains] *
100 [The Ivy League] *
144 [Tony Burrows] *
4 [John Shakespeare (2)] *
1 [Dave Winters (2)] *
1 [Jon Brennan] *
1 [Michael Brice] *
1 [Perry Ford] *
4 [Pete Nelson] *
196 [Nick Simper] *
529 [Carlo Little] *
256 [The Flower Pot Men] *
4 [Neil Landon] *
4 [Robin Shaw] *
4 [Robin Box] *
1 [Billy Day] *
1 [Peter Nelson (4)] *
1 [Rick Wolff] *
1 [Roger Hill (7)] *
1 [Roger Hills] *
1 [Tony Hall (3)]
)
= 8.12 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Rod Clark] *
1 [Bryan Pugh] *
1 [White Plains] *
1 [The Ivy League] *
1 [Tony Burrows] *
1 [John Shakespeare (2)] *
1 [Dave Winters (2)] *
1 [Jon Brennan] *
1 [Michael Brice] *
1 [Perry Ford] *
1 [Pete Nelson] *
1 [Nick Simper] *
1 [Carlo Little] *
1 [The Flower Pot Men] *
1 [Neil Landon] *
1 [Robin Shaw] *
1 [Robin Box] *
1 [Billy Day] *
1 [Peter Nelson (4)] *
1 [Rick Wolff] *
1 [Roger Hill (7)] *
1 [Roger Hills] *
1 [Tony Hall (3)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
23
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.30%
(8.12 × 1018 overall)
Dominant nodes (excluded from chart)Carlo Little 39.45%The Flower Pot Men 19.09%Nick Simper 14.62%Tony Burrows 10.74%The Ivy League 7.46%Rod Clark 4.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)