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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 196 [Al Pitrelli] *
4 [John O. Reilly] *
64 [Chris Caffery] *
49 [Joel Hoekstra] *
9 [David Zablidowsky] *
361 [Trans-Siberian Orchestra] *
4 [Johnny Lee Middleton] *
49 [Jon Oliva] *
4 [Jane Mangini] *
100 [Alex Skolnick] *
49 [Bill Hudson (6)] *
36 [Jeff Plate] *
1 [Asha Mevlana] *
16 [Blas Elias] *
1 [Darryl Pediford] *
1 [Derek Wieland] *
1 [Luci Butler] *
1 [Mee Eun Kim] *
1 [Dino JelusiÄ]
)
= 1.77 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Al Pitrelli] *
1 [John O. Reilly] *
1 [Chris Caffery] *
1 [Joel Hoekstra] *
1 [David Zablidowsky] *
1 [Trans-Siberian Orchestra] *
1 [Johnny Lee Middleton] *
1 [Jon Oliva] *
1 [Jane Mangini] *
1 [Alex Skolnick] *
1 [Bill Hudson (6)] *
1 [Jeff Plate] *
1 [Asha Mevlana] *
1 [Blas Elias] *
1 [Darryl Pediford] *
1 [Derek Wieland] *
1 [Luci Butler] *
1 [Mee Eun Kim] *
1 [Dino JelusiÄ]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(1.77 × 1019 overall)
Dominant nodes (excluded from chart)Trans-Siberian Orchestra 38.08%Al Pitrelli 20.68%Alex Skolnick 10.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)