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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 25 [U-Men] *
16 [Tom Price] *
4 [Jim Tillman] *
1 [John Bigley] *
1 [Robin Buchan] *
16 [Tom T. Hall] *
9 [Dave Dudley] *
9 [Jerry Reed] *
1 [Bill Fries] *
1 [Dave Rowland] *
1 [Dick Curless] *
1 [Donny Richmond] *
9 [Red Sovine] *
81 [Truck-driving country] *
4 [Danny Bland] *
64 [Cat Butt] *
9 [Tom Price (2)] *
1 [David Duet] *
1 [Dean Gunderson] *
1 [Erik Peterson (2)] *
1 [James Burdyshaw] *
1 [John Michael Amerika]
)
= 31.35T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [U-Men] *
1 [Tom Price] *
1 [Jim Tillman] *
1 [John Bigley] *
1 [Robin Buchan] *
1 [Tom T. Hall] *
1 [Dave Dudley] *
1 [Jerry Reed] *
1 [Bill Fries] *
1 [Dave Rowland] *
1 [Dick Curless] *
1 [Donny Richmond] *
1 [Red Sovine] *
1 [Truck-driving country] *
1 [Danny Bland] *
1 [Cat Butt] *
1 [Tom Price (2)] *
1 [David Duet] *
1 [Dean Gunderson] *
1 [Erik Peterson (2)] *
1 [James Burdyshaw] *
1 [John Michael Amerika]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
22
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Truck-driving country 30.45%Cat Butt 24.06%U-Men 9.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)