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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Vincent Barbi] *
16 [Peter Crombie] *
400 [The Blob] *
9 [Steve McQueen] *
16 [Eric DaRe] *
16 [Aneta Corsaut] *
1 [Audrey Metcalf] *
1 [Charlie Overdorff] *
9 [Earl Rowe] *
1 [Elbert Smith] *
1 [Elinor Hammer] *
1 [George Karas] *
1 [Hugh Graham] *
1 [John Benson] *
1 [Lee Payton] *
9 [Olin Howland] *
1 [Pamela Curran] *
1 [Ralph Roseman] *
9 [Stephen Chase] *
1 [Tom Ogden]
)
= 128.99B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Vincent Barbi] *
1 [Peter Crombie] *
1 [The Blob] *
1 [Steve McQueen] *
1 [Eric DaRe] *
1 [Aneta Corsaut] *
1 [Audrey Metcalf] *
1 [Charlie Overdorff] *
1 [Earl Rowe] *
1 [Elbert Smith] *
1 [Elinor Hammer] *
1 [George Karas] *
1 [Hugh Graham] *
1 [John Benson] *
1 [Lee Payton] *
1 [Olin Howland] *
1 [Pamela Curran] *
1 [Ralph Roseman] *
1 [Stephen Chase] *
1 [Tom Ogden]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Blob 78.74%Peter Crombie 3.15%Eric DaRe 3.15%Aneta Corsaut 3.15%Vincent Barbi 2.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)