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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Novembers Doom] *
1 [Joe Hernandez] *
4 [Sasha Horn] *
4 [Garry Naples] *
4 [Larry Roberts] *
4 [Mike Feldman] *
4 [Paul Kuhr] *
1 [Vito Marchese] *
4 [Chris Djuricic] *
9 [Mike Le Gros] *
4 [Mary Bielich] *
1 [Abbas Jaffary] *
1 [Cathy Jo Hejna] *
1 [Chris Wisco] *
1 [Eric Burnley] *
1 [Erik Kikke] *
1 [Jim Bresnhan] *
1 [Jim Dobleski] *
4 [Joe Nunez (4)]
)
= 212.93M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Novembers Doom] *
1 [Joe Hernandez] *
1 [Sasha Horn] *
1 [Garry Naples] *
1 [Larry Roberts] *
1 [Mike Feldman] *
1 [Paul Kuhr] *
1 [Vito Marchese] *
1 [Chris Djuricic] *
1 [Mike Le Gros] *
1 [Mary Bielich] *
1 [Abbas Jaffary] *
1 [Cathy Jo Hejna] *
1 [Chris Wisco] *
1 [Eric Burnley] *
1 [Erik Kikke] *
1 [Jim Bresnhan] *
1 [Jim Dobleski] *
1 [Joe Nunez (4)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Novembers Doom 87.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)