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 *
( 20 [Joris Jarsky] *
324 [Saw V] *
9 [Shoot 'Em Up] *
1 [Poor Boy's Game] *
16 [Stephen R. Hart] *
16 [Daniel Pilon] *
25 [Meagan Good] *
36 [Costas Mandylor] *
9 [Julie Benz] *
16 [Al Sapienza] *
4 [Betsy Russell] *
1 [Carlo Rota] *
1 [Dana Sorman] *
9 [Jeff Pustil] *
1 [Laura Gordon] *
4 [Mark Rolston] *
1 [Mike Butters] *
1 [Mike Realba] *
25 [Samantha Lemole] *
1 [Scott Patterson] *
1 [Sheila Shah] *
9 [Tobin Bell]
)
= 5.64 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Joris Jarsky] *
1 [Saw V] *
1 [Shoot 'Em Up] *
1 [Poor Boy's Game] *
1 [Stephen R. Hart] *
1 [Daniel Pilon] *
1 [Meagan Good] *
1 [Costas Mandylor] *
1 [Julie Benz] *
1 [Al Sapienza] *
1 [Betsy Russell] *
1 [Carlo Rota] *
1 [Dana Sorman] *
1 [Jeff Pustil] *
1 [Laura Gordon] *
1 [Mark Rolston] *
1 [Mike Butters] *
1 [Mike Realba] *
1 [Samantha Lemole] *
1 [Scott Patterson] *
1 [Sheila Shah] *
1 [Tobin Bell]
)
= 1.25
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)
1.67%
(5.64 × 1017 overall)
Dominant nodes (excluded from chart)Saw V 60.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)