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 *
( 1 [Crom] *
400 [Lambchop] *
36 [William Tyler] *
4 [Matt Swanson] *
4 [Andy Stack] *
4 [Paul Niehaus] *
1 [Alex McManus] *
1 [Allen Lowrey] *
1 [Bill Killebrew] *
1 [Deanna Varagona] *
1 [George Woods (3)] *
1 [John Delworth] *
1 [Jonathan Marx] *
1 [Kurt Wagner] *
1 [Marc Trovillion] *
1 [Mark Nevers] *
1 [Paul Burch] *
1 [Ryan Norris] *
1 [Sam Baker (3)] *
1 [Scott Chase] *
1 [Steve Goodhue]
)
= 3.69M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Crom] *
1 [Lambchop] *
1 [William Tyler] *
1 [Matt Swanson] *
1 [Andy Stack] *
1 [Paul Niehaus] *
1 [Alex McManus] *
1 [Allen Lowrey] *
1 [Bill Killebrew] *
1 [Deanna Varagona] *
1 [George Woods (3)] *
1 [John Delworth] *
1 [Jonathan Marx] *
1 [Kurt Wagner] *
1 [Marc Trovillion] *
1 [Mark Nevers] *
1 [Paul Burch] *
1 [Ryan Norris] *
1 [Sam Baker (3)] *
1 [Scott Chase] *
1 [Steve Goodhue]
)
= 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)Lambchop 85.47%William Tyler 7.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)