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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Animal Chin] *
1 [Andrew Gruhn] *
1 [Ben Houtman] *
1 [Jamie Woolford] *
1 [Jeremy Tappero] *
121 [Norman Westberg] *
4 [John Fell] *
4 [Scott Hill] *
4 [Eric Eble] *
4 [Bryan Bowden] *
169 [The Heroine Sheiks] *
1 [Eric Robel] *
1 [George Porfiris] *
1 [Jesse Kwakenat] *
1 [Martin Ros] *
1 [Paul Sanders] *
1 [Sarah Huska] *
1 [Shannon Selberg]
)
= 523.49M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Animal Chin] *
1 [Andrew Gruhn] *
1 [Ben Houtman] *
1 [Jamie Woolford] *
1 [Jeremy Tappero] *
1 [Norman Westberg] *
1 [John Fell] *
1 [Scott Hill] *
1 [Eric Eble] *
1 [Bryan Bowden] *
1 [The Heroine Sheiks] *
1 [Eric Robel] *
1 [George Porfiris] *
1 [Jesse Kwakenat] *
1 [Martin Ros] *
1 [Paul Sanders] *
1 [Sarah Huska] *
1 [Shannon Selberg]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Heroine Sheiks 48.84%Norman Westberg 34.97%Animal Chin 7.23%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)