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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 72 [Jim Cummings] *
9 [Liam O'Brien] *
9 [Darren Criss] *
9 [Mitchell Whitfield] *
1 [Peter Cullen] *
324 [Transformers: Robots in Disguise] *
16 [Andy Milder] *
9 [Constance Zimmer] *
16 [Eric Bauza] *
25 [Frank Stallone] *
1 [Kristy Wu] *
1 [Mikey Kelley] *
1 [Roger Craig Smith] *
36 [Steve Blum] *
1 [Stuart Allan] *
36 [Ted McGinley] *
9 [Troy Baker] *
9 [Will Friedle] *
1 [Astronaut: The Last Push] *
1 [Teen Titans Go!]
)
= 9.25 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [Jim Cummings] *
1 [Liam O'Brien] *
1 [Darren Criss] *
1 [Mitchell Whitfield] *
1 [Peter Cullen] *
1 [Transformers: Robots in Disguise] *
1 [Andy Milder] *
1 [Constance Zimmer] *
1 [Eric Bauza] *
1 [Frank Stallone] *
1 [Kristy Wu] *
1 [Mikey Kelley] *
1 [Roger Craig Smith] *
1 [Steve Blum] *
1 [Stuart Allan] *
1 [Ted McGinley] *
1 [Troy Baker] *
1 [Will Friedle] *
1 [Astronaut: The Last Push] *
1 [Teen Titans Go!]
)
= 1.13
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.51%
(9.25 × 1017 overall)
Dominant nodes (excluded from chart)Transformers: Robots in Disguise 54.45%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)