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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 49 [Anthony "Tiny" Biuso] *
100 [Rhino Bucket] *
81 [Simon Wright] *
4 [Brian Forsythe] *
4 [Simon Wright (4)] *
16 [Anthony Biuso] *
1 [Georg Dolivo (2)] *
1 [Greg Fidelman] *
1 [Jackie Enx] *
1 [Reeve Downes] *
64 [Kivikasvot] *
1 [Kukonpojat] *
1 [Henrik Lamberg] *
1 [Ilkka Hemming] *
1 [Ismo Sajakorpi] *
1 [Kai Hyttinen] *
1 [Matti Siitonen] *
1 [Seppo Ruohonen] *
1 [Vesa Nuotio]
)
= 58.53B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Anthony "Tiny" Biuso] *
1 [Rhino Bucket] *
1 [Simon Wright] *
1 [Brian Forsythe] *
1 [Simon Wright (4)] *
1 [Anthony Biuso] *
1 [Georg Dolivo (2)] *
1 [Greg Fidelman] *
1 [Jackie Enx] *
1 [Reeve Downes] *
1 [Kivikasvot] *
1 [Kukonpojat] *
1 [Henrik Lamberg] *
1 [Ilkka Hemming] *
1 [Ismo Sajakorpi] *
1 [Kai Hyttinen] *
1 [Matti Siitonen] *
1 [Seppo Ruohonen] *
1 [Vesa Nuotio]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rhino Bucket 29.50%Simon Wright 23.89%Kivikasvot 18.88%Anthony "Tiny" Biuso 14.45%Anthony Biuso 4.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
