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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Adam Phillips] *
324 [Pro-Pain] *
25 [Dan Richardson] *
121 [Dave Chavarri] *
4 [Rob Moschetti] *
4 [Nick St. Denis] *
9 [Gary Meskil] *
1 [Jonas Sanders] *
4 [Marshall Stephens] *
9 [Eric Klinger] *
4 [Eric Matthews (2)] *
1 [Adam Phillips (5)] *
1 [Gregory Discenza] *
4 [JC Dwyer] *
1 [Mike Hanzel] *
1 [Mike Hollman] *
1 [Rich Ferjanic] *
1 [Ricky Halverson]
)
= 325.17B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Adam Phillips] *
1 [Pro-Pain] *
1 [Dan Richardson] *
1 [Dave Chavarri] *
1 [Rob Moschetti] *
1 [Nick St. Denis] *
1 [Gary Meskil] *
1 [Jonas Sanders] *
1 [Marshall Stephens] *
1 [Eric Klinger] *
1 [Eric Matthews (2)] *
1 [Adam Phillips (5)] *
1 [Gregory Discenza] *
1 [JC Dwyer] *
1 [Mike Hanzel] *
1 [Mike Hollman] *
1 [Rich Ferjanic] *
1 [Ricky Halverson]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pro-Pain 62.31%Dave Chavarri 23.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)