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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 16 [Mark Ibold] *
256 [Dustdevils] *
4 [Michael Duane] *
9 [Keith Gregory] *
1 [Jaqi Dulany] *
16 [Gerard Cosloy] *
1 [Dave Reid] *
1 [Adam Cormack] *
4 [Tim Beckham] *
1 [Colin Rocks] *
1 [David Reid (10)] *
1 [James Kavoussi] *
1 [Jon Dale (2)] *
1 [Jonathan Easley] *
1 [Peter McGuigan] *
4 [Sam Lohman] *
36 [Cha Cha Cohen] *
25 [Paul Dorrington] *
1 [Alan Thomas (2)] *
9 [Simon Smith] *
1 [Tanya Mellotte]
)
= 1.22T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mark Ibold] *
1 [Dustdevils] *
1 [Michael Duane] *
1 [Keith Gregory] *
1 [Jaqi Dulany] *
1 [Gerard Cosloy] *
1 [Dave Reid] *
1 [Adam Cormack] *
1 [Tim Beckham] *
1 [Colin Rocks] *
1 [David Reid (10)] *
1 [James Kavoussi] *
1 [Jon Dale (2)] *
1 [Jonathan Easley] *
1 [Peter McGuigan] *
1 [Sam Lohman] *
1 [Cha Cha Cohen] *
1 [Paul Dorrington] *
1 [Alan Thomas (2)] *
1 [Simon Smith] *
1 [Tanya Mellotte]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Dustdevils 64.97%Cha Cha Cohen 9.14%Paul Dorrington 6.35%Mark Ibold 4.06%Gerard Cosloy 4.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)